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Become an Independent B2B Sales Partner at MEDIATRIKA

Build long-term recurring income by connecting businesses with professional digital marketing services.

MEDIATRIKA is a digital marketing agency specializing in customer acquisition, paid advertising (Google Ads, Meta Ads and LinkedIn Ads), landing pages and lead generation solutions.

We are expanding our international network of independent commercial partners and looking for experienced B2B sales professionals interested in building a long-term business relationship.

Your Role

• Identify and connect with companies that need digital marketing and customer acquisition services.
• Introduce potential clients to Mediatrika and help initiate business opportunities.
• Leverage your existing professional network and B2B relationships.
• Build a portfolio of referred clients that can generate recurring commissions.

What We Offer

• Attractive upfront and recurring commissions on clients you bring to Mediatrika.
• Long-term earning potential: benefit from ongoing client relationships.
• 100% remote collaboration, with complete flexibility.
• No exclusivity, fixed working hours or mandatory sales quotas.
• Full operational and technical support from our agency.
• No need to manage advertising campaigns or deliver services yourself.

Who We're Looking For

• Professionals with experience in B2B sales, business development or commercial partnerships.
• Individuals with an established network of business contacts.
• Strong communication and relationship-building skills.
• Good command of English.
• Independent, proactive professionals interested in commission-based collaboration.

Collaboration Model

This is an independent, commission-only business partnership, not a salaried employment position.

You focus on building relationships and generating business opportunities. Our team handles the technical delivery, campaign management and execution of all services.

Our goal is to establish lasting partnerships where both parties benefit from every successful client relationship.

Interested in building a recurring income stream with an established digital marketing agency? We'd love to hear from you.

Website: https://mediatrika.com

The Mission

At TestMu AI (formerly LambdaTest), we aren't just automating scripts — we're deprecating the era of manual-heavy testing. We're building the world's first AI-native platform where Agentic Intelligence autonomously plans, authors, and self-heals the entire Quality Engineering lifecycle. The name "TestMu" comes from our community conference — our users and team aren't an audience, they're the heartbeat of what we build. We believe AI augments human potential, not replaces it.

As our Performance Marketer, you'll own the Google Ads engine that puts our agentic platform in front of engineering leaders, QA heads, and CTOs defining the next decade of testing. Google Ads as your primary lever. 70+ live campaigns as your canvas. Pipeline as your scoreboard.

The Pillars of Impact

🚀 Google Ads Execution & Scale 50%

• Own Google Ads end-to-end across 70+ live campaigns — Brand, Competitor, Generic/Non-brand, Performance Max, AI Max, Search, Display, Video.
• Manage $25K+ in monthly spend with disciplined CPC strategy — competitor campaigns the highest, generic second, brand lowest, calibrated to funnel stage.
• Default to Phrase and Exact match types for new keyword builds; use Broad with intent, never by default, and keep auction waste out of the system.
• Diagnose spend volatility in real-time — know when CPM is lifting, when creative is fatigued, when the form itself is losing conversions.

⚙️ Attribution, Analytics & Reporting 30%

• Work fluently across attribution models — first touch, last touch, time decay, multi-touch — and know which model answers which question.
• Build and own daily, weekly, and monthly reports that connect spend to pipeline, not just clicks to leads.
• Use UTM parameters with discipline — campaign, source, medium, term, content — so every click is traceable to the campaign that earned it.
• Partner with GA4, Looker Studio, and Salesforce (or any CRM) to close the loop from ad spend to revenue influenced.

🧠 Landing Pages, Creative & Optimisation 20%

• Define landing page content and iterate on CTAs, copy, and layout — Hotjar, VWO, or similar — based on heatmaps and session data, not opinion.
• Brief and shape ad creative with intent; AI handles the first draft, you handle the judgement on what actually converts.
• Run continuous A/B tests across copy, creative, and landing flows — document what wins and what doesn't for the team's playbook.

The Bar

Non-negotiables. Every signal must be a yes.

Google Ads — in-and-out knowledge.

Fluent across Brand, Competitor, Generic, P-Max, AI Max. Not basic Search vs Display. You've shipped campaigns, not just reported on them.

$25K+ monthly budget managed.

Firm baseline. $20K considered only when every other signal is strong. Below $20K, this isn't the seat.

Attribution and diagnostic fluency.

First touch, last touch, time decay, multi-touch — you know them, and know when to use which. UTM depth is second nature.

Extreme Ownership.

Execution-first now, full channel strategy ownership as it evolves. You don't wait for the playbook. You write it.

The Interview Loop

Three rounds. Sharp, honest, and respectful of your time.

Round I · Talent Screen

30 min with the recruiting team — Google Ads fundamentals, campaign depth, baseline criteria check.

Round II · Hiring Manager

45 min with Himanshu Gulati (Director, Demand Generation) — your campaigns, your numbers, your diagnostic thinking.

Final · Leadership Conversation

30 min with our CMO — scope fit, long-term trajectory, mutual conviction.

E3D Piping designer conversed with experience in product design, oil and gas industry exposure. Has to be a go getter and having design training done in various design software in Engineering and Design.

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

• Senior hands-on SAP Integration Developer with extensive experience delivering integration solutions in SAP S/4HANA project environments. Brings at least 10 years of overall experience in SAP integrations, including a minimum of 3 years of hands-on experience with SAP Integration Suite, particularly Cloud Platform Integration (CPI), API Management, and Event Mesh.

• Responsible for hands-on design, development, and delivery of end-to-end integrations for SAP S/4HANA projects, including implementations, rollouts, conversions, and enhancements. Designs and builds integrations between SAP and non-SAP systems, including third-party platforms such as Salesforce, using REST and SOAP APIs, message-based, and event-driven architectures.

• Acts with a high level of autonomy and is expected to actively contribute to solution design, providing well-founded opinions, proposing improvements, and challenging proposed approaches when needed, always with a senior mindset and professional judgment. Leads hands-on interface design and build activities such as data mapping, transformations, routing, error handling, monitoring, and performance optimization.

• Collaborates closely with functional, technical, and architecture teams throughout project phases - from design to go-live and post-go-live support - to ensure secure, scalable, and reliable integration solutions. Contributes to integration standards, best practices, and continuous improvement across the integration landscape

Sales & Marketing Intern

Role Identity: Growth Activation Associate

About Humppl

Humppl is a people transformation company working across businesses and educational institutions.

Our work spans people strategy, HR transformation, hiring, leadership, capability building, AI adoption, digital products, campus readiness, employability, and organisational growth.

Experience: 0 to 1 year

Ways of Working: Remote

• Scope of Contribution

1. Market and Prospect Research

• Research companies, campuses, founders, CXOs, HR leaders, academic leaders, and other relevant stakeholders.

• Build clean prospect lists and account notes.

• Identify market signals, pain points, and relevant Humppl solutions.

• Verify information before using it for outreach.

2. Outreach and Demand Creation

• Support personalised email, LinkedIn, call, event, and community outreach.

• Adapt messaging to the audience rather than using one template for everyone.

• Track responses and identify which messages create meaningful engagement.

• Support awareness campaigns for Humppl's services, products, and thought leadership.

3. Sales Coordination

• Schedule meetings, prepare context notes, and record actions.

• Support follow-ups, proposal coordination, and next-step tracking.

• Maintain accurate lead and opportunity information.

• Help ensure promising conversations do not get lost between meetings.

4. Marketing and Content Distribution

• Support social, email, webinar, event, and content-distribution activities.

• Repurpose useful insights into simple campaign or outreach formats.

• Track engagement and help identify audience themes.

• Coordinate with digital and product marketing colleagues.

5. Growth Operations

• Maintain CRM hygiene, follow-up calendars, and basic pipeline reports.

• Support campaign databases and dashboards.

• Use AI tools responsibly for research and drafting without sending unverified content.

• Suggest small improvements to recurring growth workflows.

• Professional Exposure

Depending on the assignment, you may work with or gain exposure to:

• B2B sales

• Marketing

• Market research

• CRM

• Campaign execution

• Consultative outreach

• Partnerships

• Founder-led growth

You are not expected to be equally strong in every area listed. What matters is sound judgement, willingness to learn, and the ability to produce reliable work in the areas you own.

Stipend:

Please note that there is no fixed stipend during the initial three-month internship period. However, based on your performance evaluation, you may become eligible for a monthly stipend starting from ₹5,000 potentially starting from the second month, along with performance-based incentives (potentially upto Rs. 20,000 per month) linked to target achievement and timely completion of assigned tasks. Upon successful completion of the three-month internship, you may also be considered for a full-time paid role at Humppl, depending on your performance, ownership, consistency, and the organisation’s requirements.

About the Role

We are looking for an enthusiastic and proactive Skool Community Management Intern to help manage, grow, and engage our online community on the Skool platform.

The ideal candidate should be interested in community building, digital engagement, content coordination, and online audience management. You will work closely with the team to ensure smooth community operations, encourage member participation, and create an engaging experience for community members.

Key Responsibilities

• Manage and monitor the day-to-day activities of the Skool community.
• Welcome new members, assist with onboarding, and guide them through the community.
• Engage with members through posts, comments, discussions, and direct messages.
• Plan and publish regular community posts, announcements, polls, and updates.
• Encourage meaningful discussions and improve member participation and engagement.
• Monitor community activity, respond to queries, and address basic member concerns.
• Coordinate challenges, events, live sessions, and other community activities.
• Organize community resources, learning materials, and content within Skool.
• Track community growth, engagement metrics, member activity, and participation.
• Identify opportunities to improve member retention and overall community experience.
• Coordinate with the marketing and content teams to align community activities with business goals.

Required Skills & Qualifications

• Good written and verbal communication skills.
• Basic understanding of social media platforms and online communities.
• Familiarity with platforms like Skool, Discord, Facebook Groups, or similar tools is an advantage.
• Ability to create engaging posts and communicate effectively with an online audience.
• Strong organizational and coordination skills.
• Proactive attitude with the ability to take ownership of assigned responsibilities.
• Interest in digital marketing, content creation, community building, or online education.
• Willingness to learn and adapt to new tools and platforms.

Preferred Qualifications

• Previous experience managing social media pages or online communities.
• Basic knowledge of content planning and engagement strategies.
• Familiarity with community growth, audience engagement, and member retention strategies.

What You'll Gain

• Hands-on experience managing and growing an online community.
• Practical exposure to community engagement and digital marketing strategies.
• Opportunity to work with modern community-building tools and platforms.
• Guidance and mentorship from the team.
• Opportunity to take ownership of community initiatives and contribute to business growth.

Apply Now!

If you enjoy connecting with people, building communities, and creating engaging online experiences, we'd love to hear from you!

Recruiters with or without hands-on experience across the recruitment lifecycle — sourcing, 

screening, interview coordination, selection follow-ups, and onboarding

• Build product features across the stack with React, Typescript and Node.js, or Python where the service lives.

• Design and build integrations with outside platforms over REST, GraphQL, webhooks and OAuth 2, and SOAP when there is no way around it.

• Build sync pipelines on Azure Functions and Service Bus with retries, idempotency keys, dead­letter handling and alerts.

• Publish and secure APls through Azure API Management.

• Own the integration contracts: schemas, versioning, error handling and docs.

• Test the happy path and the failure modes partner systems actually produce.

• Work with stakeholders to clarify requirements and demo progress.

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe.

Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you.

Protegrity is seeking a passionate and talented Technical Lead to join our team.

We need people who recognize the opportunity, can plan effectively, take action and execute in the enterprise marketplace with our intuitive, diverse, and future-forward global teams. So, are you up for collaborating with the best in data security?

Join us on this journey and make an impact with one of the top 25 global software providers. We look forward to making our world become a better place with you on our team.

Role Overview

• You are a dedicated and accomplished Technical Lead invited to join our team. In this role, you will assume responsibility for guiding the development of the Protegrity platform, ensuring strict adherence to architectural standards, and providing expert technical leadership across multiple teams. Success in this capacity requires exceptional collaboration with architects and senior engineers, as well as the ability to advocate for innovative design principles and foster a culture of technical excellence throughout our product teams.
• This position is ideally suited for experienced professionals who excel at developing robust technological solutions and are motivated to oversee the complete end-to-end product delivery lifecycle.
• Eligible candidates should possess a minimum of six years of relevant experience in the design, development, and integration of application software, including a proven track record of leading technical teams. Applicants are expected to demonstrate versatility in programming, exhibit comprehensive knowledge of software design concepts, and remain informed about the latest advancements in technology.

What You’ll Do

• Leverage advanced technical leadership capabilities and substantial industry experience to design, implement, and uphold best practices, offering trusted counsel to promote sustainable, long-term growth while cultivating highly credible relationships with all stakeholders.
• Remain at the forefront of industry and technological best practices and trends, with specific expertise in microservices architecture, Docker, Kubernetes, and other cloud technologies like AWS, GCP, Azure, to deliver value-added solutions.
• Adaptability to learn and enhance skills in the domain of data security alongside the product’s technical environment (Linux, hardware etc.)
• Participate in development and implementation of product specifications in conjunction with Product Management.
• Pay attention to feasibility, system/feature integration and performance expectations.
• Work with stakeholders in the company (E.g. Product Management, Architects, Engineers; but not limited to) to determine needs of new product features, releases and overall platform.
• Participate in all phases of technology development of a product release.
• Mentor and Collaborate with Product teams implementing releases in accordance with the architecture.
• Adhere to the requirements and guidelines for process, quality, security etc.
• Participating in Agile practices of the team/organization as a team player.
• Demonstrates teamwork and interpersonal skills.

What You’ll Need

• 6+ years of post-bachelor’s degree experience in software development.
• 6+ years of experience in designing, developing, testing, and integrating application software using Python and Linux, with demonstrated proficiency in microservices architecture and hands-on experience with containerisation technologies such as Docker and Kubernetes.
• Knowledge of Public Cloud technologies like AWS/GCP/Azure.
• Should be strong at debugging, troubleshooting, profiling own’s code as well as reviewing that of peers.
• Sufficient knowledge of office productivity tools to represent formal exchange of technical content communication especially architecture and design.
• Excellent verbal and written communication skills along with good rapport and collaboration with teammates.
• Background to computer science and systems
• Proficient in Python programming, with expertise in Microservices Architecture, Docker, and Kubernetes.
• Experience with AWS, GCP, or Azure public cloud platforms
• Skilled in application design and architecture.

Nice to have

• Knowledge of software performance measurement and tuning
• Understanding of software security requirements and associated standards like NIST, OWASP, PCI-DSS etc.
• Has gone through a devops cycle, CI/CD pipelines and software test automations.
• Knowledge of cryptography and cryptographic algorithms
• Knowhows of Agile process for product delivery.

Should you accept this position, you will be required to consent to and successfully complete a background investigation. This may include, subject to local laws, verification of extended education and additional criminal and civil checks.

We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development.

NimbleGTM is a RevOps and GTM Engineering consultancy that helps B2B companies build and optimize the systems behind their revenue engine. We specialize in HubSpot, CRM architecture, automation, and sales and marketing operations for clients across the US, UK, Canada, and Australia.

We are a small, execution-focused team where interns work directly with founders and senior consultants on live client projects from day one. This is hands-on work rather than months of shadowing or siloed tasks.

Role Description

• We are looking for a Senior Oracle Global Trade Management (GTM) Functional QA Engineer to join the existing Global Trade Management team and drive high-quality functional testing across Oracle Fusion Cloud GTM applications and integrations.
• This role requires deep expertise in global trade compliance processes, a strong understanding of import and export operations, and the ability to work across complex, integrated enterprise systems.
• The successful candidate will ensure the quality and reliability of GTM solutions through comprehensive functional testing, regression validation, and end-to-end business process verification.

Candidate Profile

• A highly skilled Oracle Functional QA professional with strong expertise in Oracle Fusion Cloud Global Trade Management.
• Experienced in large-scale Oracle Cloud environments and enterprise testing frameworks.
• A proactive contributor who can quickly understand business requirements and validate GTM solutions against expected outcomes.
• Strong functional understanding of global trade compliance, customs, product classification, restricted party screening, licenses, permits, and trade agreements.
• Comfortable validating end-to-end processes across Oracle GTM, ERP, SCM, OIC, transportation, and external trade-content or government-facing applications.
• Analytical, with strong troubleshooting, data reconciliation, and root cause analysis skills.
• Someone who takes ownership, drives quality improvements, and provides constructive feedback.
• A team player who embodies a ONE-TEAM mindset.

Responsibilities

• Develop, maintain, and execute functional test scenarios and test cases for Oracle Fusion Cloud Global Trade Management.
• Validate trade transactions, compliance rules, restricted party screening, sanctions and embargo screening, and transaction release workflows.
• Validate product classification processes, including tariff and export control classifications and associated master data.
• Test customs management processes, trade documents, declarations, shipment and invoice data, and broker or partner collaboration workflows.
• Validate trade agreement qualification, certificates of origin, landed cost calculations, licenses, permits, and registrations.
• Understand and validate end-to-end import and export workflows across GTM and integrated enterprise applications.
• Collaborate with business stakeholders and functional consultants to translate regulatory and business requirements into comprehensive test scenarios.
• Support system integration testing, regression testing, user acceptance testing, quarterly update validation, and production release validation.
• Validate integrations between Oracle GTM, Oracle Fusion ERP/SCM, OIC, transportation systems, external trade-content providers, and partner applications.
• Perform data validation and reconciliation across items, parties, orders, shipments, classifications, compliance results, documents, duties, taxes, and fees.
• Troubleshoot defects, identify root causes, document evidence, and work with cross-functional teams to ensure timely resolution.
• Contribute to QA standards, reusable regression coverage, traceability, risk-based testing, and continuous improvement initiatives.

Role Description

• We are looking for a Senior Oracle Supply Chain Planning (SCP) Functional QA Engineer to join the existing Supply Chain Planning team and drive high-quality functional testing across Oracle Fusion Cloud Supply Chain Planning applications and integrations.
• This role requires deep expertise in supply chain planning processes, a strong understanding of demand and supply operations, and the ability to work across complex, integrated enterprise systems.
• The successful candidate will ensure the quality and reliability of planning solutions through comprehensive functional testing, regression validation, and end-to-end business process verification.

Candidate Profile

• A highly skilled Oracle Functional QA professional with strong expertise in Oracle Fusion Cloud Supply Chain Planning.
• Experienced in large-scale Oracle Cloud environments and enterprise testing frameworks.
• A proactive contributor who can quickly understand business requirements and validate planning solutions against expected outcomes.
• Strong functional understanding of Demand Management, Supply Planning, Replenishment Planning, Sales and Operations Planning, backlog management, and supply chain collaboration.
• Comfortable validating end-to-end processes across Oracle SCP, ERP, SCM, Manufacturing, Procurement, Inventory, Order Management, OIC, and external applications.
• Analytical, with strong troubleshooting, planning-data reconciliation, and root cause analysis skills.
• Someone who takes ownership, drives quality improvements, and provides constructive feedback.
• A team player who embodies a ONE-TEAM mindset.

Responsibilities

• Develop, maintain, and execute functional test scenarios and test cases for Oracle Fusion Cloud Supply Chain Planning applications.
• Validate Demand Management, Supply Planning, Replenishment Planning, Sales and Operations Planning, backlog management, and supply chain collaboration processes.
• Validate planning data collections, plan inputs, planning parameters, plan runs, exceptions, analytics, simulations, and plan outputs.
• Test demand forecasting, demand segmentation, forecast consumption, demand prioritization, and collaborative demand planning workflows.
• Test constrained and unconstrained supply plans, sourcing rules, lead times, capacity, safety stock, order modifiers, pegging, and supply recommendations.
• Validate replenishment policies, inventory targets, supplier commitments, production plans, and order-release recommendations.
• Understand and validate end-to-end planning-to-execution workflows across SCP and integrated enterprise applications.
• Collaborate with business stakeholders and functional consultants to translate requirements into comprehensive, traceable test scenarios.
• Support system integration testing, regression testing, user acceptance testing, quarterly update validation, and production release validation.
• Validate integrations between Oracle SCP, Oracle Fusion ERP/SCM, OIC, Manufacturing, Procurement, Inventory, Order Management, and external systems.
• Perform data validation and reconciliation across items, organizations, resources, suppliers, customers, forecasts, sales orders, work orders, purchase orders, inventory, and planning results.
• Troubleshoot defects, identify root causes, document evidence, and work with cross-functional teams to ensure timely resolution.
• Contribute to QA standards, reusable regression coverage, traceability, risk-based testing, and continuous improvement initiatives.

TECHJAYS

THE AI REIMAGINATION COMPANY

Position DevOps Lead

Experience 10+ Years

Location Coimbatore / Hybrid

Joining Immediate / ASAP

Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability

Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps

About Techjays

At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.

Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.

We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.

The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.

You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.

This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.

Key Responsibilities

1. Cloud Infrastructure & Architecture

• Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
• Own cloud infrastructure architecture and operations across AWS or Azure.
• Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
• Establish infrastructure standards, architecture patterns, and operational best practices.
• Manage cloud resource provisioning, configuration, scaling, and environment management.
• Ensure infrastructure meets requirements for availability, performance, security, and reliability.
• Drive infrastructure improvements through automation and continuous optimization.

2. DevOps & CI/CD Engineering

• Design, implement, and maintain CI/CD pipelines for application development and deployment.
• Manage multi-stage deployment workflows across development, testing, staging, and production environments.
• Implement automated build, testing, deployment, and release processes.
• Establish reusable pipeline templates, deployment standards, and approval workflows.
• Manage deployment strategies, including rolling, blue/green, and canary deployments.
• Implement rollback mechanisms and ensure reliable production releases.
• Integrate CI/CD workflows with source control, artifact repositories, and container registries.
• Continuously improve deployment efficiency, release reliability, and engineering productivity.

3. Containerization & Kubernetes Management

• Architect and manage containerized application environments using Docker and Kubernetes.
• Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
• Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
• Work with Helm charts for application packaging and deployment.
• Optimize container resource utilization, application scaling, and cluster performance.
• Troubleshoot complex container and Kubernetes-related production issues.
• Establish best practices for container security and workload reliability.

4. Infrastructure as Code & Automation

• Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
• Automate infrastructure provisioning, configuration management, and environment setup.
• Develop reusable infrastructure modules and deployment automation workflows.
• Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
• Reduce manual intervention through standardization and automation.
• Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.

5. Monitoring, Reliability & Production Operations

• Establish centralized monitoring, logging, alerting, and observability across cloud environments.
• Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
• Monitor application availability, infrastructure health, resource utilization, and system performance.
• Lead troubleshooting and resolution of complex production incidents.
• Conduct root cause analysis and implement permanent corrective actions.
• Establish operational practices for backup, disaster recovery, availability, and business continuity.
• Improve system reliability through proactive monitoring and performance optimization.

6. Cloud Security & Governance

• Implement cloud security best practices across infrastructure and application environments.
• Manage IAM, RBAC, access controls, service identities, and secrets management.
• Secure cloud networking, virtual networks, firewalls, and infrastructure access.
• Implement container security and infrastructure hardening practices.
• Ensure cloud environments follow organizational security and compliance requirements.
• Identify infrastructure vulnerabilities and coordinate remediation activities.
• Establish secure deployment and configuration management practices.

7. AI Infrastructure & Engineering Collaboration

• Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
• Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
• Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
• Support the infrastructure requirements of AI applications across development, testing, and production environments.
• Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
• Evaluate infrastructure technologies and tools that support evolving AI application requirements.

8. Technical Leadership & Team Development

• Provide technical leadership to DevOps engineers and guide implementation across projects.
• Establish engineering standards, infrastructure best practices, and operational procedures.
• Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
• Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
• Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
• Drive continuous improvement across DevOps processes, tools, and engineering practices.

Required Technical Skills & Experience

1. Cloud Platforms

• 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
• Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
• Practical experience designing, deploying, and operating production-grade cloud infrastructure.

AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.

Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.

Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.

2. DevOps & CI/CD

• Strong experience designing and maintaining CI/CD pipelines.
• Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
• Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
• Experience implementing deployment automation and rollback strategies.
• Strong understanding of Git workflows and version control practices.

3. Containers & Kubernetes

• Strong hands-on experience with Docker and Kubernetes.
• Practical experience managing EKS or AKS environments.
• Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
• Experience with Helm and container orchestration.
• Ability to troubleshoot production container and Kubernetes environments.

4. Infrastructure as Code & Scripting

• Strong experience with Terraform and Infrastructure as Code practices.
• Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
• Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
• Strong understanding of Linux administration and system troubleshooting.

5. Monitoring & Reliability Engineering

• Experience implementing infrastructure and application monitoring.
• Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
• Understanding of incident management, root cause analysis, performance optimization, and system availability.
• Experience establishing alerting, operational dashboards, and reliability practices.

6. AI/ML Infrastructure Exposure

• Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
• Understanding of infrastructure requirements for deploying and operating AI-powered applications.
• Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.

Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.

Preferred Skills

• Experience implementing GitOps workflows using Argo CD or similar tools.
• Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
• Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
• Experience with cloud cost optimization and FinOps practices.
• Familiarity with AI/ML infrastructure and production GenAI applications.
• Experience with Python-based automation and infrastructure tooling.
• Relevant AWS, Azure, Kubernetes, or Terraform certifications.

What We're Looking For Beyond Skills

• Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
• Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
• Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
• System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
• Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
• Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
• Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
• AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
• Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.

Typical Technology Environment

AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products

What We Offer

• Competitive compensation aligned with experience and expertise.
• Coimbatore office-based work environment with hybrid flexibility.
• Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
• Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
• Paid holidays and flexible time off.
• Medical insurance covering self and family, up to ₹4 lakh per person.
• Opportunities to influence infrastructure architecture and engineering practices.
• A culture that values clarity, integrity, ownership, and continuous growth.

Join Techjays

If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.

TECHJAYS

THE AI REIMAGINATION COMPANY

AI Quality Engineer

Position : AI Quality Engineer

Experience : 3–10 Years

Location : Coimbatore / Hybrid

Joining : Immediate / Within 30 Days

Primary SkillsManual & Functional Testing, AI/ML Application Testing, LLM Testing, Prompt Testing, Test Case Design, API Testing, Regression Testing, Defect Management

Preferred SkillsRAG Testing, Chatbot Testing, AI Response Evaluation, Selenium, Playwright, Cypress, Python, JavaScript, SQL, Postman, JIRA, BDD

About Techjays

At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing intelligent, scalable, and production-grade AI solutions that solve real-world business challenges.

Our global team brings together experienced technology professionals from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build AI-powered applications, intelligent automation platforms, and enterprise software solutions.

We're looking for an AI Quality Engineer with strong functional testing expertise and prior hands-on experience testing AI/ML-powered applications.

This role goes beyond traditional software testing. You will be responsible for validating the quality, accuracy, reliability, and behaviour of AI-powered features, ensuring that intelligent applications perform consistently across different scenarios and real-world use cases.

The ideal candidate should understand both traditional QA methodologies and the unique testing challenges associated with AI systems, including non-deterministic outputs, prompt behaviour, hallucinations, response relevance, and edge-case validation.

Prior hands-on experience testing AI/ML-based products or applications is mandatory. Candidates with only traditional manual testing experience and no AI project exposure will not be a fit.

Key Responsibilities

1. AI Application & LLM Testing

• Perform functional and quality testing of AI-powered applications, LLM-based products, chatbots, and intelligent automation systems.
• Design test scenarios to validate AI-generated responses for accuracy, relevance, consistency, completeness, and contextual understanding.
• Test prompts, prompt variations, and conversational flows to identify unexpected outputs and behavioural inconsistencies.
• Evaluate AI responses for hallucinations, incorrect information, irrelevant answers, and context retention issues.
• Validate AI application behaviour across different user inputs, edge cases, and complex scenarios.
• Test RAG-based applications by validating document retrieval, response relevance, contextual accuracy, and source grounding.
• Evaluate AI-powered search, recommendation engines, and other intelligent product features.
• Collaborate with AI engineers and data science teams to define acceptance criteria and quality benchmarks.

2. Functional & Manual Testing

• Analyse business and technical requirements and convert them into comprehensive test scenarios and test cases.
• Execute functional, regression, integration, system, and user acceptance testing across web and mobile applications.
• Validate end-to-end application workflows, business logic, user interactions, and data processing.
• Identify functional gaps, unexpected behaviour, and usability issues.
• Perform exploratory testing to uncover defects that may not be covered by predefined test cases.
• Ensure application functionality remains stable across different releases and environments.
• Review requirements early in the development lifecycle to identify potential quality risks.

3. AI Quality Evaluation & Validation

• Develop structured testing approaches for non-deterministic AI outputs using behaviour-based, range-based, and scenario-based validation.
• Evaluate AI response quality against expected outcomes and predefined acceptance criteria.
• Validate prompt sensitivity, context handling, conversation memory, and multi-turn interactions.
• Identify failure patterns involving hallucinations, prompt injection, incorrect retrieval, and inconsistent responses.
• Test AI system performance across different input formats, languages, and user scenarios where applicable.
• Maintain test datasets and evaluation scenarios for repeatable AI quality assessment.
• Work with engineering teams to identify root causes of AI-related defects and verify fixes.

4. API & Integration Testing

• Perform manual API testing using Postman or similar tools.
• Validate API request and response structures, status codes, authentication, authorization, and error handling.
• Test integrations between AI services, backend systems, databases, and external APIs.
• Validate data flow between application components and identify integration issues.
• Test API behaviour under different input conditions, including invalid inputs and boundary cases.
• Verify API responses and ensure consistency between frontend and backend functionality.

5. Defect Management & Quality Reporting

• Identify, document, track, and manage defects throughout the testing lifecycle.
• Maintain detailed test cases, test execution reports, defect logs, and test documentation.
• Collaborate with developers to reproduce issues, analyse root causes, and validate fixes.
• Track test coverage, defect trends, and application quality metrics.
• Communicate release risks, unresolved defects, and testing status to relevant stakeholders.
• Participate in release readiness reviews and provide quality sign-off for assigned modules.

6. Automation & Continuous Improvement

• Identify repetitive test scenarios that can be automated to improve testing efficiency.
• Support automation initiatives using Selenium, Playwright, or Cypress.
• Work with developers to improve testability and integrate testing practices into CI/CD workflows.
• Explore AI-assisted testing tools and approaches to improve test coverage and efficiency.
• Continuously improve testing methodologies for both conventional software applications and AI-powered systems.

Required Skills & Experience

1. Functional & Manual QA

• 3–5 years of hands-on experience in manual and functional software testing.
• Strong understanding of software testing methodologies, SDLC, STLC, and defect management.
• Experience designing and executing test cases for functional, regression, integration, and end-to-end testing.
• Strong knowledge of Agile/Scrum methodologies and sprint-based QA processes.
• Experience testing web applications, APIs, and mobile applications.
• Ability to analyse requirements and identify functional gaps, edge cases, and potential risks.

2. Mandatory AI/ML Testing Experience

• Prior hands-on experience testing AI/ML-powered applications or products.
• Practical experience testing LLM-based applications, AI chatbots, conversational systems, or intelligent automation features.
• Understanding of prompt testing and evaluating AI-generated responses.
• Ability to validate AI outputs for accuracy, relevance, consistency, and contextual correctness.
• Experience identifying hallucinations, unexpected AI behaviour, and response-quality issues.
• Understanding of AI application workflows, model outputs, and the challenges associated with non-deterministic systems.
• Experience collaborating with AI/ML engineers or data science teams during testing and validation.

3. API & Integration Testing

• Hands-on experience with manual API testing using Postman.
• Understanding of REST APIs, JSON, request/response validation, authentication, and error handling.
• Experience validating integrations between frontend, backend, and external services.
• Basic understanding of database validation and SQL queries.

4. Testing Tools & Technologies

• Experience with JIRA and Confluence for defect tracking and test documentation.
• Familiarity with Postman, SQL, and browser developer tools.
• Understanding of test management and reporting practices.
• Basic knowledge of BDD frameworks such as Cucumber/Gherkin is an advantage.

Preferred Skills

• Experience testing RAG-based applications, including document retrieval and contextual response validation.
• Exposure to vector databases and semantic search testing.
• Familiarity with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.
• Understanding of LLM evaluation frameworks and AI quality assessment methodologies.
• Experience with AI evaluation tools such as Ragas, DeepEval, or similar frameworks.
• Exposure to prompt injection, adversarial testing, and responsible AI validation.
• Working knowledge of Selenium, Playwright, or Cypress.
• Basic scripting knowledge in Python or JavaScript.
• Familiarity with CI/CD pipelines and automated testing practices.
• Exposure to cross-browser testing tools such as BrowserStack or Sauce Labs.

What We're Looking For Beyond Skills

• AI Testing Mindset: Understands that testing AI applications requires more than checking whether a feature works. Can evaluate response quality, accuracy, relevance, and behaviour.
• Analytical Thinking: Ability to identify unusual scenarios, inconsistent outputs, and hidden quality issues.
• Strong QA Fundamentals: Applies structured testing methodologies while adapting them to AI-powered applications.
• Attention to Detail: Documents defects clearly and identifies patterns in application and AI behaviour.
• Ownership: Takes responsibility for testing quality from requirement analysis through release validation.
• Collaboration: Works effectively with developers, AI engineers, product managers, and data science teams.
• Continuous Learning: Interested in exploring emerging AI technologies and evolving testing methodologies.
• Communication: Clearly communicates test results, defect impact, quality risks, and release readiness.

What We Offer

• Competitive compensation aligned with experience and expertise.
• Flexible work environment (Coimbatore office / Hybrid).
• Paid holidays and flexible time off.
• Medical insurance covering self and family, up to ₹4 lakh per person.
• Opportunity to work on real-world AI-powered products and enterprise applications.
• Hands-on exposure to LLMs, RAG systems, agentic AI, and modern AI engineering practices.
• Opportunities to develop expertise in AI quality engineering and automation testing.
• A collaborative, multicultural environment with opportunities for professional growth.
• A culture that values clarity, integrity, ownership, and continuous learning.

Join Techjays

If you're passionate about software quality and have hands-on experience validating AI-powered applications, we'd love to hear from you.

Join us in building reliable, intelligent, and production-ready AI systems.

AI Engineer

Experience: 2–4 Years

Employment Type: Full-Time

Work Mode: Coimbatore / Hybrid

About Techjays

Techjays is an AI Reimagination Company focused on building intelligent, scalable, and impactful software solutions. We help businesses solve complex challenges through AI, automation, and modern software engineering.

We are looking for an AI Engineer who is passionate about building AI-powered applications and integrating modern AI technologies into real-world products.

Key Responsibilities

• Design, develop, and deploy AI-powered applications using Python and modern AI frameworks.
• Build and implement LLM-based applications, including Retrieval-Augmented Generation (RAG) systems.
• Work with LLM APIs such as OpenAI, Gemini, and Anthropic.
• Develop AI agents and workflows using frameworks such as LangChain and LangGraph.
• Integrate vector databases and implement efficient embedding and semantic search solutions.
• Develop scalable backend services and REST APIs.
• Work with databases, data processing pipelines, and cloud-based services.
• Collaborate with frontend and backend teams to integrate AI capabilities into applications.
• Evaluate AI model performance, improve response accuracy, and optimize application performance.
• Debug, test, and maintain production-grade AI applications.

Required Skills

• 2–4 years of experience in software development, AI engineering, or a related field.
• Strong programming knowledge in Python.
• Hands-on experience with LLMs and Generative AI applications.
• Understanding of RAG architecture, embeddings, and semantic search.
• Experience with frameworks such as LangChain, LangGraph, or LlamaIndex.
• Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Qdrant.
• Experience in building REST APIs using FastAPI or Flask.
• Good understanding of SQL and NoSQL databases.
• Familiarity with Git, Docker, and basic cloud services.
• Strong problem-solving and analytical skills.

Good to Have

• Experience building AI agents and multi-agent systems.
• Knowledge of React or other frontend frameworks.
• Exposure to AWS, Azure, or GCP.
• Understanding of model evaluation, prompt engineering, and fine-tuning.
• Experience deploying AI applications in production environments.

What We’re Looking For

• Someone who enjoys solving real-world problems using AI.
• Ability to take ownership of tasks and deliver solutions independently.
• Strong learning mindset and willingness to explore emerging AI technologies.
• Good communication and collaboration skills.

TECHJAYS

Senior Account Manager

Position: Senior Account Manager

Experience: 10+ Years

Industry: IT Services / Software Development / Technology Consulting

Location: Coimbatore / Hybrid

Joining: Immediate / Within 30 Days

Primary Skills: Enterprise Account Management, Strategic Client Relationships, Revenue Growth, Account Expansion, Consultative Selling, Commercial Negotiations, Account Profitability, Stakeholder Management.

Preferred Skills: AI/ML Services, Digital Transformation, Enterprise Software, HubSpot CRM, International Account Management, Agile Delivery.

About Techjays

At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We partner with organizations worldwide to design and deliver AI-powered software solutions that solve complex business challenges and create measurable business value.

Our global team brings together experienced technology professionals from organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini.

We work with clients ranging from innovative startups to large enterprises, delivering custom AI solutions, software engineering services, and digital transformation initiatives.

We're looking for a Senior Account Manager who can take ownership of strategic client relationships, drive account growth, and build long-term partnerships with enterprise customers.

This role goes beyond traditional account management. You will be responsible for understanding client business objectives, identifying new opportunities, growing existing engagements, managing commercial relationships, and ensuring long-term account success.

The ideal candidate combines strong business acumen, consultative selling capabilities, commercial ownership, and the ability to engage confidently with senior executive stakeholders.

Key Responsibilities

1. Strategic Account & Client Relationship Management

• Own and manage a portfolio of strategic enterprise accounts, acting as the primary point of contact for client leadership.
• Build and maintain strong relationships with CXOs, VPs, Directors, and other key decision-makers.
• Understand client business objectives, technology roadmaps, operational challenges, and long-term priorities.
• Develop strategic account plans covering revenue targets, stakeholder mapping, growth opportunities, risks, and client retention.
• Act as a trusted advisor to clients, identifying opportunities where technology and AI solutions can create business value.
• Maintain strong client engagement throughout discovery, solutioning, project execution, and account expansion.

2. Revenue Growth & Business Development

• Own annual account revenue targets and drive consistent growth across assigned accounts.
• Identify opportunities for upselling, cross-selling, new projects, additional engineering teams, and new service offerings.
• Develop account expansion strategies based on client requirements and emerging business opportunities.
• Lead consultative discovery discussions to understand business challenges and identify potential technology solutions.
• Build business cases, ROI models, and commercial proposals to support client investment decisions.
• Maintain a healthy sales pipeline and provide accurate revenue forecasts.
• Drive renewals, contract extensions, and long-term engagement opportunities.

3. Commercial Ownership & Negotiations

• Lead commercial discussions and negotiations involving pricing, contracts, and engagement models.
• Manage Master Service Agreements (MSAs), Statements of Work (SOWs), rate cards, renewals, and change requests.
• Monitor account revenue, gross margins, delivery costs, and overall profitability.
• Identify commercial risks and take proactive measures to protect account margins.
• Work closely with finance, pre-sales, and delivery teams to ensure commercial commitments are realistic and sustainable.
• Balance client expectations with business objectives and organizational profitability.

4. Delivery Governance & Client Success

• Partner with engineering and delivery leaders to ensure projects meet agreed scope, quality, timelines, and commercial expectations.
• Participate in project planning, scoping discussions, and SOW preparation.
• Establish account governance through regular client reviews, monthly business reviews, steering committee meetings, and Quarterly Business Reviews (QBRs).
• Monitor client satisfaction, account health, delivery performance, and potential relationship risks.
• Manage senior-level escalations and lead recovery plans for at-risk accounts.
• Ensure effective communication between clients and internal delivery teams.
• Stay involved beyond contract closure to ensure successful execution and long-term client retention.

5. Consultative Selling & Solutioning

• Work closely with pre-sales and technical teams to understand client requirements and develop relevant technology solutions.
• Lead client discovery sessions and translate business challenges into solution opportunities.
• Drive proposals, solution presentations, and commercial discussions.
• Position Techjays' AI, software engineering, automation, and digital transformation capabilities based on client business needs.
• Communicate the business value, expected outcomes, and ROI of proposed solutions.
• Ensure that client expectations and commercial commitments are aligned with actual delivery capabilities.

6. Leadership & Account Management Excellence

• Mentor and guide junior account managers and support the development of account management capabilities.
• Establish structured account management processes, playbooks, reporting standards, and account health metrics.
• Improve pipeline visibility, revenue forecasting, and account performance reporting through CRM systems.
• Share market intelligence, client feedback, and growth opportunities with senior leadership.
• Contribute to service offering development and go-to-market strategies based on client insights.

Required Skills & Experience

Account Management & Enterprise Sales

• 10+ years of experience in enterprise account management, strategic client management, or consultative sales within the IT services or software industry.
• Proven track record of managing and growing high-value enterprise accounts.
• Demonstrated experience in account expansion, upselling, cross-selling, renewals, and revenue generation.
• Strong experience managing long-term, complex client engagements and multiple stakeholders.
• Experience handling international clients and global enterprise accounts.

Business & Commercial Acumen

• Strong understanding of account revenue, gross margins, profitability, pricing, and commercial planning.
• Hands-on experience negotiating MSAs, SOWs, rate cards, contract renewals, and change requests.
• Ability to develop account growth strategies, business cases, and ROI models.
• Experience managing revenue forecasts, sales pipelines, and account financial performance.
• Understanding of IT services engagement models, including Fixed Price, Time & Material (T&M), and Dedicated Teams.

Client & Stakeholder Management

• Proven ability to engage with CEOs, CFOs, COOs, VPs, and senior technology leaders.
• Strong consultative discovery and executive-level communication skills.
• Ability to identify key decision-makers, understand stakeholder dynamics, and influence complex buying decisions.
• Experience managing client escalations, resolving relationship challenges, and turning around at-risk accounts.

Technology & Delivery Understanding

• Good understanding of the software development lifecycle (SDLC), software engineering, and technology delivery models.
• Familiarity with AI/ML, automation, enterprise software, and digital transformation services.
• Ability to collaborate effectively with engineering, pre-sales, product, and delivery teams.
• Understanding of Agile methodologies and distributed delivery environments.

Tools & Reporting

• Hands-on experience with CRM platforms, preferably HubSpot.
• Familiarity with pipeline management, revenue forecasting, account reporting, and account health metrics.
• Strong presentation, negotiation, and business communication skills.

What We're Looking For Beyond Skills

• Business Ownership: Takes responsibility for account revenue, profitability, retention, and long-term growth.
• Strategic Thinking: Understands the bigger business picture and identifies opportunities beyond immediate client requirements.
• Executive Presence: Can confidently engage with senior decision-makers and build trusted business relationships.
• Commercial Mindset: Understands the balance between client satisfaction, delivery commitments, revenue, and profitability.
• Consultative Approach: Asks the right questions, understands business challenges, and positions solutions that deliver measurable value.
• Accountability: Remains involved throughout the client lifecycle, from opportunity discovery to successful delivery and expansion.
• Problem-Solving: Handles difficult client situations, escalations, and commercial challenges with a structured approach.
• Leadership: Can guide internal teams, mentor junior account managers, and influence stakeholders without relying on formal authority.

Nice to Have

• Experience building or scaling an account management function.
• Experience developing account management processes, playbooks, and performance metrics from scratch.
• Previous experience mentoring or leading a team of account managers.
• Familiarity with AI/ML services, intelligent automation, and enterprise AI solutions.
• Experience working with global clients and distributed engineering teams.
• MBA or relevant postgraduate qualification.

Join Techjays

If you're someone who can build lasting enterprise relationships, identify business opportunities, drive account revenue, and turn client partnerships into long-term business growth, we'd love to hear from you.

RevOps & GTM Engineering Intern

About NimbleGTM

NimbleGTM is a RevOps and GTM Engineering consultancy that helps B2B companies build and optimize the systems behind their revenue engine.

We specialize in HubSpot, CRM architecture, automation, and sales and marketing operations for clients across the US, UK, Canada, and Australia.

We are a small, execution-focused team where interns work directly with founders and senior consultants on live client projects from day one. This is hands-on work rather than months of shadowing or siloed tasks.

What You'll Learn & Work On

• Get hands-on training across HubSpot, Apollo, Smartlead, Make.com, n8n, AI workflows, and the modern GTM tech stack.
• Support live client implementations involving CRM architecture, automations, reporting, and process optimization.
• Build outbound infrastructure, sales workflows, and operational systems for B2B companies.
• Work alongside senior consultants on client-facing deliverables.
• Progress towards independently owning client accounts as your skills grow.

Who We're Looking For

• No prior experience with these tools is required. Training will be provided from the ground up.
• Strong communication skills and clear thinking.
• A fast learner with high ownership and attention to detail.
• Comfortable in a fast-moving startup environment.
• Willing to ask good questions, figure things out, and execute.

Mandatory Requirements

• A personal laptop capable of handling modern web applications.
• A reliable high-speed internet connection.
• Availability to work full-time during the internship.
• Availability to work Monday–Saturday, 3:00 PM–12:00 AM IST.

Internship Details

• Position: RevOps & GTM Engineering Intern
• Openings: 3
• Location: Remote
• Duration: 3 months
• Stipend: ₹10,000 per month
• Working days: Monday–Saturday
• Working hours: 3:00 PM–12:00 AM IST
• Start date: Immediate

Career Opportunity After Internship

Successful interns will be considered for a full-time RevOps & GTM Engineering role.

Potential full-time compensation will be ₹22,000–₹30,000 per month, depending on demonstrated skills, ownership of live client work, and overall performance.

Why Join NimbleGTM?

• Work on real international client projects.
• Get practical exposure to modern CRM and GTM technologies.
• Learn directly from experienced consultants.
• Develop technical, analytical, and problem-solving skills.
• Opportunity to transition into a full-time role.

SAP Integration Developer

Experience: 4–7 Years

Location: Pune – Hinjewadi Phase 1 / Remote

Employment Type: Full-Time

Key Responsibilities

• Develop and support SAP and non-SAP integrations using SAP CPI / Integration Suite or SAP PI/PO.
• Migrate existing integrations from Dell Boomi MuleSoft or webMethods to SAP CPI / Integration Suite or PI/PO.
• Work with APIs, IDocs, RFC/BAPI, OData, SOAP, REST, XML, and JSON.
• Handle message mapping, data transformation, error handling, testing, and troubleshooting.
• Collaborate with technical teams to ensure seamless integration and migration.

Required Skills

• 4–7 years of SAP integration development experience.
• Strong knowledge of SAP CPI / Integration Suite and/or SAP PI/PO.
• Mandatory: Hands-on migration experience with MuleSoft or webMethods.
• Experience with SAP ECC/S/4HANA integrations, APIs, and middleware migration.
• Strong analytical and problem-solving skills.

Important Screening Criteria: Candidates must have hands-on non-SAP middleware migration experience involving MuleSoft, webMethods, Dell Boomi,

Job description:

Role type : Full-time, Remote

Location : Remote

Key Responsibilities

• Execute SEO tasks across keyword research, on-page optimisation, technical audits, and link building.
• Run outreach campaigns to bloggers, directories, SaaS communities, and relevant media.
• Support partnership pipelines - find targets, send outreach, follow up, and maintain relationships.
• Collaborate with the content team to align SEO briefs with search intent.
• Track and report weekly on rankings, backlinks, and outreach responses.
• Flag algorithm changes and surface quick-win opportunities to the team

. • Over time: represent SERP Forge in online communities and niche forums to build brand presence.

You're a Great Fit If

• You have 5+ years of SEO experience with real, measurable results (rankings, traffic, backlinks).
• You've done outreach before - cold emails, follow-ups, link building - and it actually worked.
• You're execution-focused - you'd rather ship and learn than plan forever.
• You write clearly and communicate without sounding robotic.
• You track your work in numbers and know what's actually moving the needle.
• You're comfortable working independently in a lean, fast-moving team.
• Bonus: You've engaged in any online community - even as a contributor or member, not necessarily a builder.

Nice to Have

• Experience with SaaS or B2B SEO tools or products.
• Familiarity with Ahrefs, SEMrush, Screaming Frog, Hunter.io, or similar.
• Prior experience at an agency or SEO-first startup.
• A personal blog, newsletter, or LinkedIn presence you've built yourself.

Interested candidates will be assessed with Interview process

# Job Description – Billing & Invoicing Specialist

**Job Title:** Billing & Invoicing Specialist

**Experience:** 4–6 Years

**Department:** Title Services / Billing Operations

**Employment Type:** Full-Time

### Job Overview

We are looking for a detail-oriented Billing & Invoicing Specialist with 4–6 years of hands-on experience in **customer billing, billing operations, invoice processing, accounts receivable, and billing research**.

The ideal candidate should have strong knowledge of customer invoicing, order entry, reviewing purchase orders and contracts, investigating billing discrepancies, and resolving customer billing disputes. The candidate will work closely with the Sales, Customer Success, Finance, and other internal teams to ensure accurate and timely customer billing.

### Key Responsibilities

* Create, review, and process customer invoices accurately and within defined timelines.

* Handle end-to-end customer billing and invoicing activities.

* Review contracts, purchase orders (POs), and supporting documents to ensure billing accuracy.

* Perform billing research and investigate invoice discrepancies.

* Research and resolve customer billing inquiries, disputes, and discrepancies.

* Handle order entry and verify order details before processing invoices.

* Manage accounts receivable (AR) activities and follow up on outstanding invoices when required.

* Coordinate with Sales, Customer Success, Finance, and internal departments to resolve customer billing issues.

* Ensure adherence to company billing policies, procedures, and internal controls.

* Support month-end closing activities and other accounts receivable functions as required.

* Maintain accurate customer billing records and documentation.

### Required Skills & Qualifications

* Bachelor's degree in Commerce (B.Com), Accounting, Finance, or a related field.

* 3–6 years of relevant experience in **customer billing, billing operations, invoicing, or accounts receivable**.

* Hands-on experience in customer invoice creation, processing, and billing activities.

* Strong understanding of customer billing processes and order entry.

* Experience reviewing contracts, purchase orders, and supporting billing documents.

* Ability to investigate billing disputes and resolve customer discrepancies.

* Good analytical, numerical, and problem-solving skills.

* Strong attention to detail and accuracy.

* Good verbal and written communication skills.

* Proficiency in MS Excel and basic accounting tools.

### Preferred Experience

Candidates with practical experience in the following areas will be preferred:

* Customer Billing and Invoicing Operations

* Customer Invoice Processing

* Accounts Receivable (AR)

* Order Entry and Order Management

* Billing Research and Investigation

* Customer Billing Dispute Resolution

* Purchase Order (PO) and Contract Verification

* Customer Account Reconciliation

### Ideal Candidate Profile

We are specifically looking for candidates whose primary work experience has been in **Customer Billing and Invoicing Operations**, rather than general finance or accounting.

Candidates with hands-on experience in customer billing, processing customer invoices, researching billing discrepancies, handling order entries, managing accounts receivable, and resolving customer billing disputes will be given preference.

### Keywords for Candidate Sourcing

Customer Billing Specialist, Billing Specialist, Billing Executive, Invoicing Specialist, Accounts Receivable Executive, Billing Analyst, Order Management Specialist, Customer Billing Analyst, AR Analyst.

About the Role

• We're hiring a Partnerships Manager to drive revenue through our cloud and AI partner ecosystem. This is a
• sales-oriented alliances role — we need someone who has already built relationships with Field Sales Reps
• (FSRs) and Account Executives at Google Cloud, AWS, or Azure, and has a track record of converting
• those relationships into closed deals. You'll shape how we approach partnership-led sales strategically, not
• just manage program operations.

What You'll Do

• Build and leverage relationships with FSRs and Account Executives at Google Cloud, AWS, and

Azure to generate qualified pipeline

• Drive co-sell motions end-to-end — from partner-sourced lead to closed deal

• Define and execute our partnership-led sales strategy, advising leadership on where and how to

prioritize partner channels

• Identify and pursue joint-selling opportunities with hyperscaler account teams

• Represent the company in partner-facing sales conversations and deal reviews

• Track partner-sourced pipeline and revenue, and report on channel performance to leadership

• Work around partner-led sales incentives, collaborating with external partnership teams for funding

initiatives

• Expand our footprint within the Google Cloud, AWS, and Azure partner ecosystems by building new

FSR/AE relationships

What You Need

• 6–8 years of direct experience in partnership/alliance roles within the cloud ecosystem

• Demonstrated track record of closing multiple deals through Google Cloud, AWS, or Azure partner

networks

• Established relationships with FSRs and Account Executives at one or more hyperscalers

• Strong understanding of co-sell motions, deal registration, and partner-sourced pipeline management

• Ability to advise leadership on partnership-led go-to-market strategy, not just execute existing

programs

• Strong sales acumen and comfort owning revenue-linked outcomes

• Excellent relationship-building and stakeholder communication skills

Nice to Have

• Experience working with Partner Development Managers/Executives in AI-first partner ecosystems

like Anthropic and OpenAI

• Experience with partner certification programs (Anthropic Claude Partner Network, AWS APN, Azure,

GCP)

Who You Are

• A relationship-first operator who can open doors within hyperscaler sales teams

• Commercially minded — you think in terms of pipeline, deal velocity, and closed revenue

• A strategic thinker who can shape how the company approaches partnership-led sales, not just follow

a playbook

• Comfortable operating with high autonomy and ownership of outcomes

Skills: Partner Sales, Co-sell, Channel Partnerships, Google Cloud Partner Network, AWS Partner Network,

Microsoft Azure Partner Network, Deal Registration, Pipeline Management, Strategic Alliances, GTM

Strategy

Pncpl Software Engineer

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Java following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 6+ years in software engineering with backend development in Java.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

We are looking for an experienced SEO Executive to manage SEO activities for international clients. The candidate should have strong hands-on experience in improving organic rankings, traffic, and search visibility.

What You'll Do

• Manage SEO campaigns for international client websites.
• Perform keyword research and competitor analysis.
• Handle On-Page, Off-Page, and Technical SEO.
• Build and manage quality backlinks.
• Conduct SEO audits and identify website optimization opportunities.
• Monitor rankings, organic traffic, and SEO performance.
• Work with content and development teams for SEO implementation.
• Prepare SEO reports and track campaign performance.
• Stay updated with Google algorithm updates and SEO trends.

What We're Looking For

• 3–4 years of hands-on SEO experience.
• Experience with international SEO/client projects.
• Strong knowledge of On-Page, Off-Page & Technical SEO.
• Proficiency in Google Search Console, GA4, Ahrefs, SEMrush or similar tools.
• Good understanding of keyword research, link building, and competitor analysis.
• Strong analytical and communication skills.
• Ability to manage multiple SEO projects independently.

Skills

SEO, Keyword Research, On-Page SEO, Off-Page SEO, Technical SEO, International SEO, Link Building, SEO Audit, Competitor Analysis, Content Optimization, Google Search Console, Google Analytics 4, Ahrefs, SEMrush, WordPress, SEO Reporting, Google Algorithm Updates.

Why Join Us?

• Work directly on international client projects.
• Opportunity to grow your SEO expertise.
• Performance-driven and collaborative work environment.
• Career growth opportunities.

This is not an on-call support role. As our Integration Support Engineer, you will own Oddr's support function end to end, with full control over system changes and fixes and the independence to redesign processes and architecture once leadership approves your ideas. You will wear many hats: leader, integration engineer, automation builder, and customer partner. You will use Claude and other LLM tools to make support more agentic and automate repetitive work across Azure, DevOps, SQL, and cloud integrations.

The core responsibilities for the job include the following:

Own and Lead:

• Own the support board and be accountable for every support outcome.
• Decide on, build, test, and deploy fixes and changes to production.
• Propose process and architecture improvements; implement them independently once approved.
• Coordinate with engineering, product, and implementation to resolve issues.

Automate and Optimize:

• Build AI agents and workflows (Claude, other LLMs) for triage, log analysis, root-cause investigation, and customer replies.
• Replace repetitive manual work with scripts, scheduled jobs, and AI-assisted workflows.
• Turn team knowledge into reusable playbooks, prompts, and documentation.

Integrations, Cloud, and Data:

• Troubleshoot, build, and improve integrations using iPaaS, Azure services, REST/SOAP APIs, SFTP, JSON, and XML.
• Ship changes through Azure DevOps and SDLC practices.
• Write and optimize SQL for investigation, validation, and reconciliation.
• Shape cloud architecture for reliability, observability, and scale.

Customers:

• Work directly with customers as their technical partner, communicating clearly and proactively.
• Solve both technical and business problems, learning new systems as needed.
• Oddr: AI-powered billing, invoicing, and revenue intelligence for law firms.

Requirements:

• 5+ years in integration engineering or support, including leading or solely owning a support function.
• Proven ownership: driving changes independently and seeing improvements through.
• Hands-on use of LLM tools (Claude, ChatGPT, Copilot, or similar) to automate work.
• Scripting for automation (Python, PowerShell, or similar).
• Strong SQL and database troubleshooting skills.
• Experience with Azure (functions, logic apps, monitoring) and Azure DevOps or similar CI/CD.
• Solid grasp of cloud architecture, integration patterns, REST/SOAP APIs, and at least one iPaaS (e. g., Boomi).
• Curious, comfortable wearing multiple hats, and confident working directly with customers.
• Bachelor's degree in computer science, IT, or a related field.
• Able to work 6:00 PM - 5:00 AM IST.

Nice to Have:

• Experience building AI agents (MCP, tool-calling, LLM APIs).
• Azure, Boomi, or other cloud/iPaaS certifications.
• Experience with Intapp Integration Builder or legal-industry systems.

What Great Looks Like:

• You own the role: every issue has a clear owner, priority, and next step.
• Each quarter, more support work is handled by automation and AI.
• Root causes get fixed, not patched, and you deliver approved process and architecture improvements.
• Customers and internal teams see you as the go-to owner of support.

Lead Data Engineer – Databricks & Azure

• We are looking for a Lead Data Engineer with 5–7 years of experience in Azure, Databricks, and Microsoft Fabric to lead and mentor the data engineering team. The role involves implementing scalable data solutions using Databricks as the core platform, building modern data pipelines, and enabling seamless integration with Microsoft Fabric and Power BI.

Responsibilities & Requirements:

• Lead and mentor data engineers while driving hands-on technical delivery.
• Implement approved Databricks and Microsoft Fabric architectures and solutions.
• Develop metadata-driven bronze, silver, and gold data pipelines.
• Build reusable batch, incremental, CDC, and streaming ingestion pipelines.
• Strong hands-on experience with Azure Databricks, PySpark, SQL, and Delta Lake.
• Experience with Microsoft Fabric, OneLake, Direct Lake, and Power BI integration.
• Implement data quality checks, reconciliation, source-to-target mapping, and metadata management.
• Configure Unity Catalog for data governance, access control, auditing, and lineage.
• Implement CI/CD, automated deployments, and Datadog monitoring.
• Drive testing, documentation, operational readiness, and knowledge transfer.

Good to have:

• Experience with MDM and master data integration.
• Exposure to Azure DevOps or GitHub Actions.
• Experience with automated data testing and reconciliation frameworks.
• Experience working with onshore stakeholders and distributed engineering teams.
• Strong communication, problem-solving, and team leadership skills.

Databricks BI Developer / Engineer

Rate: 25 LPA

Exp- 5+ years

Location: Remote

Time zone: ET (US Eastern Time)

Shift: Night Shift

Requirements must have: Databricks, Spark, BI (Tableau or something different, or ready to learn quickly)

Task: Main responsibility is the migration of existing Tableau dashboards to Databricks AI/BI Dashboards

We are looking for someone with Databricks experience, strong analytical skills, and the ability to work effectively with ambiguous requirements. Strong communication skills are essential, as the role requires close collaboration with multiple stakeholders, Databricks consultants, and technical teams.

Senior Data Engineer Databricks and Snowflake 

Exp- 7+ years

Rate: 30 LPA

Location: Remote

Time zone: ET (US Eastern time)

Shift: Night Shift

Type: Fulltime

Main tech requirements: Databricks, Snowflake, Spark, AWS, RDS, Oracle, MSSQL, domain of histopathology

Responsibilities:

Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).

Create and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake, and other modern engineering tools.

Develop and maintain specific data repositories, implementing enterprise-level data models, and creating new models as needed.

Enable AI/ML readiness by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise data standards.

What we expect:

Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.

6+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.

Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt.

Proficiency in RDS

Expertise in ETL and DWH.

Experience with NoSQL and graph databases.

English language proficiency of B2+

Strong analytical, problem-solving, and stakeholder-management skills, with the ability to translate discussions into actionable requirements.

Ability to drive multiple exciting projects simultaneously with strong organizational skills and adaptability.

Nice to have:

Experience working with the histopathology domain

Experience with regulated or standards-driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.

Familiarity with high dimensional data (e.g., imaging, sensor data, etc).

Experience with principles connecting to or feeding MLOps and model deployment workflows.

Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.

Exposure to knowledge graph or ontology-driven architectures.

Lead Data Security Solution Engineer

Exp: 10+ years

Rate: 35 LPA

Location: Remote

Time zone: ET (US Eastern time)

Shift: Night Shift

Type: Fulltime​

Responsibilities:

1. Technical and Database Assessment

Review Data In-Licensing requirements, workflow maps, data flows, data lineage, entitlement rules, and dependency records.

Assess relational database platforms, schemas, connectivity methods, interfaces, drivers, service identities, query patterns, and downstream consumption.

Identify where licensed data is stored, transformed, replicated, extracted, cached, archived, or backed up.

Assess current database security capabilities and identify gaps, constraints, risks, and prerequisites.

2. Data-Level Authentication and Identity Integration

Assess authentication for named users, service identities, workloads, and analytical tools accessing databases.

Evaluate OAuth/OIDC or other identity- and token-based authentication directly to the database where supported by the selected technology.

Design integration between enterprise identities, security groups, project groups, database principals, roles, and policy engines.

Reduce reliance on shared or long-lived credentials where feasible and define secure credential or token handling for unavoidable exceptions.

Align with tools currently available and identify gaps if any,

3. Fine-Grained Authorization and Data Firewalling

Design database-level controls that restrict access to explicitly authorized users, groups, services, projects, or licensing populations.

Design and implement row-level security, column-level security, dynamic masking, views, policy-based filtering, or equivalent controls as appropriate.

Define isolation patterns for different licensed datasets and agreements while preserving permitted platform use for other users.

Ensure controls are consistently enforced as close to the data layer as technically feasible and are not solely dependent on application logic.

4. Auditing, Monitoring, and Traceability

Design database auditing to capture who accessed data, what was accessed, when access occurred, and which identity or service was used.

Define logging for queries, exports, failed access attempts, permission changes, and privileged activity where supported and required.

Integrate audit telemetry with appropriate monitoring and reporting capabilities and define retention and evidence requirements.

Validate that audit records are searchable, attributable, protected from inappropriate modification, and useful for investigation.

5. Data Lifecycle, Revocation, and Deletion

Design controls for access revocation when users change roles, leave a project, or when licensing rights expire.

Design methods to identify and remove licensed data from primary stores and relevant downstream copies, extracts, caches, or derived stores.

Address deletion implications for referential integrity, backups, archives, replication, recovery processes, and downstream consumers.

Define validation, exception handling, and evidence mechanisms to demonstrate that required deletion activities were completed.

6. Solution Architecture and Engineering

Translate requirements into current-state and target-state architectures, technical specifications, security patterns, and implementation plans.

Compare solution options and document trade-offs across security, feasibility, performance, scalability, operability, cost, and technology constraints.

Define database connectivity, policy-enforcement, identity, audit, monitoring, lifecycle, and integration components.

Collaborate with database, IAM, security architecture, infrastructure, application, data platform, governance, and scientific teams.

7. POC Design and Execution

Select suitable relational database and workflow candidates that represent Data In-Licensing scenarios and material technical risks.

Define POC architecture, test data, test identities, success criteria, negative tests, performance considerations, and rollback approach.

Implement and validate identity-based authentication, fine-grained authorization, data firewalling, auditing, access revocation, and deletion scenarios.

Document outcomes, limitations, operational considerations, reusable patterns, and recommendations for broader adoption.

What we expect:

Expected Deliverables

Technical assessment of databases, integrations, identities, and data flows

Current-state database security and capability assessment

Target-state data security architecture and detailed technical design

Database authentication and identity-integration design

Row-level, column-level, masking, and policy-enforcement design

Data firewalling and licensed-dataset isolation pattern

Audit, monitoring, traceability, and reporting design

Access revocation, retention, lifecycle, and deletion design

Solution options, feasibility, gap, dependency, and risk assessment

POC architecture, implementation, test results, and recommendations

Reusable implementation patterns and operational handover documentation

Required Technical Skills and Experience

Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, privileges, and access paths.

Practical experience implementing database-level authorization, including row-level and column-level controls or equivalent fine-grained mechanisms.

Strong knowledge of database authentication, IAM, OAuth 2.0, OIDC, tokens, service identities, workload identities, and secrets management.

Experience designing secure database connectivity and integrations for applications, analytical tools, APIs, ETL/ELT, and data pipelines.

Experience with database auditing, query/activity monitoring, centralized logging, alerting, and investigation support.

Understanding of data lineage, lifecycle, retention, revocation, deletion, backup, archive, and recovery implications.

Ability to evaluate heterogeneous database technologies and design platform-appropriate controls.

Strong architecture, engineering, troubleshooting, documentation, and stakeholder-collaboration skills.

Nice to have:

Experience with enterprise data platforms, cloud or hybrid databases, data catalogs, access governance, and policy-enforcement technologies.

Experience in pharmaceutical research, scientific data, intellectual property protection, data licensing, or another regulated environment.

Experience designing and executing security POCs and converting validated patterns into production-ready designs.

Knowledge of privacy, contractual-use restrictions, segregation, and evidence requirements affecting licensed data.

About the role

Incubyte is an AI-first software development company built on software craftsmanship, founded in 2020 and based in Ahmedabad. As Travel Desk Executive, you own end-to-end business travel so that employees and founders can travel without friction, and costs stay in check.

What you will do

Book and manage domestic and international flights, hotels, cabs and trains for a team of about 200 employees.

Plan and handle all international travel for the founders: itineraries, visas, forex, insurance, lounge access and on-ground support.

Process visa and travel-document requests, and track passport and visa validity for frequent travellers. Negotiate with airlines, hotels, travel agencies and cab vendors; maintain preferred vendor rates and corporate accounts.

Enforce the travel policy, approvals and budgets; flag overspend and find cheaper options without hurting the traveller experience.

Handle last-minute changes, cancellations, delays and emergencies, and be reachable when a founder or client trip is at risk.

Reconcile bills and invoices with Finance each month and report travel spend, savings and trends. Improve the process: set up a booking tool or request form, a travel calendar, and clear SOPs.

Nice to have

Experience supporting founders, CXOs or senior leadership travel.

Knowledge of forex, travel insurance and GST treatment of travel expenses.

Experience in an IT or startup environment with a distributed or growing team. Familiarity with expense tools and basic automation.

THIS ROLE IS MUMBAI-BASED MANDATORY

About Ungrammary

Ungrammary is an independent UX/UI design and digital product design studio partnering with ambitious businesses to build meaningful digital experiences. We work with teams across industries including fintech, SaaS, ecommerce and consumer brands, helping turn complex business problems into clear, useful and engaging products. Our work spans strategy, product thinking, UX, interface design and design systems. As a remote-first team collaborating with clients across geographies, we value thoughtful communication, ownership and a high standard of craft.

The role

We’re looking for a Full Stack Developer who can translate product and design requirements into reliable, production-ready web applications. You’ll work closely with our designers, project stakeholders and client teams to build features across the stack, make sound technical decisions, and take ownership from development through deployment. The role calls for someone who is comfortable working in a design-led, client-service environment where quality, timelines and clear communication matter.

Responsibilities

• Build, test and ship end-to-end web application features using MongoDB, Express.js, React and Node.js.

• Translate Figma designs and product requirements into responsive, accessible and maintainable front-end experiences.

• Develop and maintain RESTful APIs, including authentication, authorization, validation and error handling.

• Create reusable React components and manage application state using suitable patterns and libraries.

• Design MongoDB schemas; write efficient queries and aggregations; and consider indexing and performance.

• Integrate third-party services such as payment gateways, email/SMS providers, maps, cloud storage and OAuth.

• Collaborate with UX/UI designers, project managers, QA and other developers to clarify requirements and plan implementation.

• Estimate tasks, communicate progress and risks, and take responsibility for agreed deliverables.

• Write clean, testable code; participate in code reviews; and document important technical decisions.

• Troubleshoot production issues and improve application performance, security and reliability.

• Support deployment and maintenance, including environment configuration, hosting, monitoring and CI/CD workflows.

• Communicate clearly with internal stakeholders and, when required, international clients.

Required skills

• 2+ years of professional experience building and shipping full-stack MERN applications.

• Strong JavaScript (ES6+) fundamentals and working knowledge of TypeScript.

• React.js: hooks, component architecture, routing, forms, state management and performance fundamentals.

• Node.js and Express.js: API development, middleware, authentication, file handling and error management.

• MongoDB with Mongoose: schema design, aggregation pipelines, query optimization and indexing.

• Strong HTML5 and CSS3 skills, with experience using a framework such as Tailwind CSS, Material UI or Bootstrap.

• Ability to accurately translate responsive Figma designs into working interfaces.

• Git and GitHub workflows, including branching, pull requests and resolving merge conflicts.

• Experience using Postman or similar tools and working with API documentation.

• Familiarity with deployment fundamentals, Linux environments and production configuration.

• Good written and spoken English, with the ability to explain technical concepts clearly.

• A responsible, detail-oriented approach and the ability to manage work independently in a remote team.

Good to have

• Next.js, including server-side rendering and static generation.

• Experience with PostgreSQL or MySQL in addition to MongoDB.

• NestJS, Fastify, Prisma or other modern backend frameworks and tools.

• Cloud deployment experience on AWS, Azure, Google Cloud or comparable platforms.

• Docker and CI/CD tools such as GitHub Actions.

• Real-time application development using Socket.io or WebSockets.

• Unit and integration testing with Jest, React Testing Library or Supertest.

• Experience integrating platforms such as Stripe, Razorpay or Shopify.

• Performance optimization, accessibility and web security fundamentals.

• Productive use of AI-assisted development tools such as Claude, GitHub Copilot or Cursor.

What you can expect at Ungrammary

• Work on meaningful digital products and platforms across fintech, SaaS, ecommerce and consumer-facing businesses.

• Collaborate closely with experienced UX/UI designers and contribute to the quality of the final product—not just the code.

• Take ownership of features across the stack, from understanding requirements to implementation and release.

• Work in a remote-first environment that values autonomy, thoughtful collaboration and clear communication.

• Exposure to varied product challenges, technologies and client contexts.

• Opportunities to strengthen technical depth, product thinking and end-to-end delivery skills.

LEAD DATA SECURITY SOLUTION ENGINEER

Experience: 10+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹35 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Lead Data Security Solution Engineer with strong expertise in database security, IAM, authentication, authorization, and enterprise data architecture.

The candidate will be responsible for assessing existing database environments, designing secure data access architectures, implementing fine-grained authorization controls, and ensuring licensed data is protected throughout its lifecycle.

The role involves working closely with database, IAM, security, infrastructure, application, data platform, and governance teams.

Key Responsibilities

1. Technical and Database Assessment

• Assess database platforms, schemas, data flows, data lineage, connectivity, and downstream dependencies.
• Review where licensed data is stored, transformed, replicated, extracted, cached, archived, and backed up.
• Evaluate existing database security capabilities and identify gaps, risks, and technical constraints.

2. Authentication and Identity Integration

• Design secure authentication for users, applications, service identities, and workloads.
• Implement or evaluate OAuth 2.0, OIDC, token-based authentication, and enterprise IAM integration.
• Integrate enterprise identities, security groups, database roles, and policy engines.
• Reduce dependency on shared and long-lived credentials.

3. Fine-Grained Authorization and Data Security

• Design and implement database-level access controls.
• Implement Row-Level Security (RLS), Column-Level Security (CLS), dynamic data masking, and policy-based filtering.
• Design secure isolation patterns for licensed datasets.
• Ensure security policies are enforced at the database layer.

4. Auditing, Monitoring, and Traceability

• Design database auditing and activity monitoring.
• Track user access, queries, exports, permission changes, and privileged activities.
• Integrate audit logs with centralized monitoring and reporting systems.
• Define audit retention and investigation requirements.

5. Data Lifecycle and Deletion

• Design access revocation mechanisms for users, projects, and expired licensing agreements.
• Define secure data deletion processes across databases, backups, archives, caches, and downstream systems.
• Ensure deletion activities are validated and supported by audit evidence.

6. Solution Architecture and Engineering

• Develop current-state and target-state security architectures.
• Prepare technical specifications, implementation plans, and reusable security patterns.
• Evaluate solution options based on security, scalability, performance, feasibility, and cost.
• Collaborate with cross-functional technical and business teams.

7. POC Design and Execution

• Design and execute Proof of Concepts (POCs) for database security scenarios.
• Validate authentication, authorization, data isolation, auditing, access revocation, and deletion.
• Document test results, technical limitations, recommendations, and implementation approaches.

Required Technical Skills

• 10+ years of experience in database engineering, data security, solution architecture, or related fields.
• Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, and privileges.
• Experience implementing Row-Level Security (RLS), Column-Level Security (CLS), dynamic masking, and fine-grained authorization.
• Strong understanding of IAM, OAuth 2.0, OIDC, token-based authentication, service identities, and workload identities.
• Experience with secrets management and secure database connectivity.
• Knowledge of database auditing, query monitoring, centralized logging, alerting, and security investigations.
• Experience securing integrations involving applications, APIs, analytical tools, and ETL/ELT pipelines.
• Understanding of data lineage, retention, lifecycle management, revocation, deletion, backup, and recovery.
• Ability to assess heterogeneous database platforms and recommend suitable security architectures.
• Strong architecture, troubleshooting, documentation, and stakeholder-management skills.

Nice to Have

• Experience with enterprise data platforms and cloud or hybrid database environments.
• Knowledge of data catalogs, access governance, and policy-enforcement technologies.
• Experience in pharmaceutical research, healthcare, scientific data, or intellectual property protection.
• Exposure to data licensing, contractual-use restrictions, and regulated environments.
• Experience designing and executing security POCs and implementing production-ready solutions.

Expected Deliverables

• Database security and capability assessment.
• Current-state and target-state security architecture.
• Database authentication and IAM integration design.
• Fine-grained authorization and data-masking design.
• Data firewalling and licensed-dataset isolation patterns.
• Audit, monitoring, and traceability framework.
• Data revocation, retention, and deletion strategy.
• Technical feasibility, gap, dependency, and risk assessments.
• POC implementation, test results, and recommendations.
• Reusable technical documentation and operational handover.

Work Requirements

• Fully remote opportunity.
• Full-time employment.
• Must be comfortable working in the US Eastern Time (ET) night shift.
• Budget: Up to ₹35 LPA.

SENIOR DATA ENGINEER – DATABRICKS & SNOWFLAKE

Experience: 7+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹30 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Senior Data Engineer with strong expertise in Databricks, Snowflake, Apache Spark, and AWS to design, develop, and maintain scalable data engineering solutions.

The candidate will work on integrating data from multiple sources, building modern data pipelines, developing enterprise data models, and preparing data platforms for AI/ML applications.

Experience in healthcare, scientific data, or the histopathology domain will be an added advantage.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to acquire, integrate, and manage data from diverse sources such as laboratory systems, MES, clinical supply, quality systems, and external partners.
• Develop and optimize data workflows for structured and unstructured data using Python, PySpark, R, SQL, Databricks, and Snowflake.
• Design and maintain enterprise-level data models and data repositories.
• Perform ETL development, data warehousing, database design, and data integration.
• Ensure data quality, versioning, traceability, and consistency to support AI/ML readiness.
• Collaborate with stakeholders and technical teams to translate business requirements into technical solutions.
• Manage multiple projects while ensuring scalability, performance, and reliability.

Required Skills

• 7+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks and Snowflake.
• Excellent knowledge of Apache Spark / PySpark.
• Strong experience with AWS cloud services and AWS RDS.
• Experience with Oracle and Microsoft SQL Server (MSSQL).
• Proficiency in Python, R, and SQL.
• Strong understanding of ETL, Data Warehousing (DWH), data modeling, and database design.
• Experience with dbt and cloud-based data architectures.
• Knowledge of NoSQL and graph databases.
• Strong analytical, problem-solving, and stakeholder-management skills.
• Good English communication skills (B2 level or above).
• Willingness to work in the US Eastern Time (ET) night shift.

Preferred / Good to Have

• Experience in histopathology, healthcare, life sciences, or scientific data environments.
• Knowledge of CDISC, HL7, FHIR, OMOP, DICOM, or other regulated data standards.
• Experience handling high-dimensional data, including imaging and sensor data.
• Familiarity with MLOps and machine learning model deployment workflows.
• Knowledge of Manufacturing Execution Systems (MES) and Laboratory Information Management Systems (LIMS).
• Exposure to knowledge graphs and ontology-driven architectures.

Education

Bachelor's degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field. A master's degree is preferred.

Interested candidates can apply with their updated resumes.

DAT​​ABRICKS BI DEVELOPER / ENGINEER

Location: Remote

Experience: 5+ Years

Budget: Up to ₹25 LPA

Work Mode: Remote

Shift: US Eastern Time (ET) – Night Shift

Job Description

We are looking for an experienced Databricks BI Developer / Engineer with strong hands-on experience in Databricks and Apache Spark to support a dashboard migration project.

The primary responsibility will be migrating existing Tableau dashboards to Databricks AI/BI Dashboards.

Key Responsibilities

• Migrate existing Tableau dashboards to Databricks AI/BI Dashboards.
• Work with Databricks and Spark to analyse and process data.
• Understand business requirements and translate them into effective BI solutions.
• Collaborate with Databricks consultants, stakeholders, and technical teams.
• Handle ambiguous requirements and provide analytical solutions.
• Ensure dashboard accuracy, performance, and reliability.
• Communicate project progress and technical updates effectively.

Required Skills

• 5+ years of relevant professional experience.
• Strong hands-on experience with Databricks.
• Good experience with Apache Spark / PySpark.
• Experience with Tableau or other BI tools such as Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Ability to understand and work with evolving or ambiguous requirements.
• Willingness to learn Databricks AI/BI Dashboards quickly, if not already experienced.

Work Requirements

• Remote opportunity.
• Must be comfortable working in the US Eastern Time (ET) night shift.
• Budget: Up to ₹25 LPA.

We are hiring a Partner Sales Manager to build Stantech AI's partner-led revenue engine from the ground up, working directly with the founders.

About Stantech AI:

Stantech AI builds enterprise software that shapes itself to the business, not the other way around. Our modular ERP platform digitalises a company's operations end to end.

Every deployment is fully tailored, with customisations, automations and reporting included. Clients get the depth of a bespoke system with the speed and economics of a product. We serve growing manufacturing, trading and distribution businesses across India.

The Role:

You will design and run our partner sales strategy across the ERP and accounting software ecosystem, especially the Tally partner network. You will recruit and enable resellers, implementation partners and system integrators, and close strategic direct accounts yourself.

What You Will Do:

- Partner strategy: Define and execute the partner sales strategy across the ERP and accounting software landscape.

- Partner network: Recruit, onboard and manage resellers, implementation partners and system integrators.

- Partner enablement: Train partners to sell and demo independently, with structured training and collateral, including our Tally Prime integration.

- Direct deals: Own strategic direct accounts end to end, from first conversation to signed contract.

- Pipeline and targets: Build a predictable partner-sourced pipeline and deliver against quarterly revenue targets.

- Reporting: Track KPIs, partner performance and funnel conversions, and report progress to the founders.

- Market intelligence: Feed market, partner and competitor insights back into product and pricing decisions.

What We Are Looking For:

- 8+ years in channel sales or partner management, ideally with ERP or accounting software partners.

- A strong understanding of small, SMB and mid-size businesses and how partners sell to them.

- A proven record of recruiting and building channel partner networks from scratch: resellers, implementation partners and system integrators.

- Hands-on experience bringing new partners on board: identifying, pitching, signing and onboarding them until they sell on their own.

- Deep familiarity with India's Tally and ERP partner ecosystem, with relationships you can bring.

- Experience enabling partners to sell and demo independently through training and collateral.

- A track record of delivering partner-sourced revenue against targets, with the numbers to show for it.

- Strong partner management skills: partner agreements, incentive structures, joint business plans and performance reviews.

- Fluency in English and Hindi, and willingness to travel to meet partners across regions.

If you have built partner networks in India's ERP and accounting ecosystem and want to build the next one from scratch, we'd love to hear from you.

TECHJAYS

Position: Senior Database Engineer / DBA

Experience: 7+ Years

Location: Coimbatore / Hybrid (Remote option available)

Employment Type: Contract

Joining: Immediate or within 30 days preferred

Core Focus: Microsoft SQL Server Administration, Always On Availability Groups, Performance Tuning, Database Security, Disaster Recovery, Production Database Operations, High Availability, and Multi-Terabyte Database Management.

Tools & Platforms: Microsoft SQL Server (HA / Clustered), Always On Availability Groups (AGs), TDE & Auditing, T-SQL, Partitioning & Archiving, PowerShell, Snowflake / Redshift / AWS Aurora (Nice to Have).

About the Role

We are looking for a Senior Database Engineer / DBA to own a large, multi-terabyte Microsoft SQL Server environment running in a highly available, clustered configuration.This is a hands-on production database role supporting a live, customer-facing SaaS platform. The role focuses on maintaining database availability, performance, security, and reliability. This is not an analytics or reporting role.

The ideal candidate will have strong hands-on experience managing SQL Server databases in a 24x7 production environment, troubleshooting complex database issues, maintaining Always On Availability Groups, and ensuring business continuity through effective disaster recovery practices.

Key Responsibilities

1. Production Database Administration & High Availability

Own and maintain the production SQL Server environment in an Always On Availability Group configuration.Handle failover operations, synchronization delay troubleshooting, and read replica load management.Maintain database availability and ensure the stability of production database environments.Manage SQL Server alerts and provide on-call coverage for production database operations.

2. Performance Tuning & Incident Management

Lead incident response and root cause analysis for production database issues.Troubleshoot query plan regressions, TempDB contention, deadlocks, and blocking issues.Perform index and statistics maintenance to ensure optimal database performance.Review developers' T-SQL queries and schema changes before deployment. Advise developers on table design, indexing strategies, and database performance optimization.

3. Database Security & Compliance

Maintain database security through Transparent Data Encryption (TDE), auditing, and certificate and key rotation.Monitor anomalous database access patterns and ensure appropriate security controls.

Handle confidential or legally sensitive data requests following established processes.Maintain database security standards and support compliance requirements.

4. Database Maintenance & Capacity Planning

Perform quarterly cumulative update patching across database environments.Manage partitioning and archiving on multi-terabyte databases without impacting production performance.

Own capacity planning for storage, CPU, and memory.Manage recurring environment refreshes across staging, development, and QA environments.Ensure production maintenance activities are performed safely with minimal downtime.

5. Disaster Recovery & Database Migrations

Design, implement, and test disaster recovery strategies for SQL Server environments.Support customer instance migrations between regions, including database preparation and validation.

Perform regular DR testing and ensure database recovery readiness. Manage large-scale database migrations while maintaining availability and data integrity.

6. Production Operations & Support

Provide on-call, weekend maintenance, and after-hours support as required.Maintain clear documentation of database changes, incidents, and recovery procedures.Work closely with engineering teams to ensure reliable database operations.Ensure production database changes follow established change control and operational procedures.

Must-Have Requirements

• 7+ years of hands-on Microsoft SQL Server DBA experience in a 24x7 production environment. SQL development experience alone is not sufficient.
• 3+ years of direct experience with Always On Availability Groups, including failover handling and synchronization delay troubleshooting.
• Experience managing multi-terabyte production databases, including partitioning, archiving, and index and statistics maintenance without blocking production.
• Experience leading incident response and root cause analysis for production database issues.
• Strong experience with database security practices, including TDE, auditing, certificate rotation, and key management.
• Hands-on experience with SQL Server performance tuning, query optimization, and production troubleshooting.
• Experience designing and testing disaster recovery strategies.
• English fluency sufficient for real-time incident communication, with meaningful business-hours overlap with Pacific time.
• Nice-to-Have Skills
• Experience supporting a SaaS CRM or similarly high-transaction-volume application.
• Exposure to Snowflake, Redshift, or AWS Aurora alongside transactional SQL Server work.
• Experience with customer instance migrations or similar large-scale data movement projects.
• Experience in SOC 2, HIPAA, or PCI-regulated environments.
• Comfort handling legally sensitive or confidential data requests as part of a defined process.

What We're Looking For

Strong Ownership: Takes responsibility for maintaining large, multi-terabyte production databases and ensuring their availability and reliability.

Technical Expertise: Demonstrates deep hands-on knowledge of SQL Server administration, Always On Availability Groups, performance tuning, and disaster recovery.

Incident Management: Maintains a calm, structured approach during production incidents and takes ownership of root cause analysis and preventive actions.

Attention to Detail: Follows disciplined change control, documentation, database security, and maintenance practices.

Clear Communication: Communicates effectively with developers, engineering teams, and stakeholders during live production incidents.

Operational Excellence: Understands the importance of maintaining production databases with minimal downtime and without impacting customer-facing applications.

Execution-Focused Mindset: Comfortable managing day-to-day database administration, on-call support, and hands-on production operations.

What We Offer

• Flexible work environment with Coimbatore office, hybrid, and remote options.
• Paid holidays and flexible time off.
• Medical insurance coverage of up to ₹4 lakh per person for self and family.
• Opportunities to support production infrastructure for global clients.
• A culture that values clarity, integrity, accountability, and continuous growth.

Job Description

This is a remote position.

Want to build AI-powered products that real people use? We’re looking for hands-on Software Craftspeople who love TypeScript, care about clean code, and are excited about LLMs, agents and agentic workflows.

This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.

What You’ll Do

• Own features end to end, from design to production, on complex cross-functional projects.
• Build scalable backend systems and APIs in TypeScript using craftsmanship principles.
• Build AI applications and agentic workflows with OpenAI, Claude, Mastra and modern AI tooling.
• Build browser-based experiences, including Chrome Extensions, where needed.
• Spot risks early and drive solutions beyond your immediate scope.
• Raise the bar on code quality, testing and DevEx across the team.
• Work closely with clients, and mentor fellow engineers.

Requirements

What You’ll Bring

• A track record of owning production-grade systems, with strong hands-on TypeScript.
• Practical experience with LLM apps, AI agents and agentic frameworks (Mastra or similar), including extending agents with skills and tools.
• An understanding of Responsible AI: evaluation, reliability, safety and privacy.
• Experience building or integrating Chrome Extensions.
• Strong system design skills and solid engineering habits: TDD, CI/CD, refactoring, Agile/XP.
• Good knowledge of REST/gRPC APIs, relational databases and performance optimisation.

Nice to Have

• Python for production or AI/LLM systems
• LangChain, LlamaIndex, Agno, vector databases, AI eval and observability tools
• Docker, Kubernetes, Terraform
• React or another modern frontend framework

Working Hours

This role works with global clients, so you may sometimes need to join late-night calls (up to around 2 AM IST).

Benefits

Life at Incubyte  

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.  

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.  

Perks  

• Dedicated learning & development budget.  
• Sponsorship for conference talks.  
• Comprehensive medical & term insurance.  
• Employee-friendly leave policies.  
• Home Office fund  
• Medical Insurance  

TECHJAYS

Lead – Infrastructure Security & Release Operations

Position: Lead – Infrastructure Security & Release Operations

Experience: 8+ Years

Location: Coimbatore / Hybrid (Remote option available)

Joining: Immediate or within 30 days preferred

Core Focus: Production Release Management, Change Control, Security Operations, SOC 2 Compliance, Audit Evidence, Identity & Access Management.

Tools & Platforms: Octopus Deploy, TeamCity, AWS (IAM, Security Groups, CloudTrail), Status Page, Endpoint Security Tools, GRC Platforms (Vanta, Drata, or similar).

About the Role

We are looking for a senior, execution-focused professional to own production release management, change control, and day-to-day security and compliance operations.

This role focuses on ensuring production changes are deployed safely, maintaining accurate SOC 2 audit evidence, managing security operations, and enforcing disciplined access controls.

The ideal candidate will bring hands-on experience managing production deployment pipelines, coordinating change approvals, supporting external audits, and maintaining security and compliance processes in a production environment.

This is a hands-on execution role. Strategic roadmaps, architecture review boards, and cross-company leadership responsibilities remain with the existing leadership team and are outside the scope of this position.

Key Responsibilities

1. Production Release & Deployment Management

• Own production release and deployment pipelines using Octopus Deploy and TeamCity.
• Implement and maintain zero-downtime deployment practices and rollback procedures.
• Troubleshoot failed or stuck deployments and coordinate timely resolution.
• Approve production changes, hotfixes, and feature toggle changes.
• Coordinate maintenance windows and communicate planned changes to customers through the status page.

2. Security, Compliance & Audit Management

• Own SOC 2 change management processes and maintain complete, audit-ready evidence.
• Work directly with external auditors throughout SOC 2, HIPAA, PCI, or equivalent audit cycles.
• Track vulnerability remediation, security patches, and corrective actions.
• Manage endpoint security tooling and triage externally reported vulnerabilities.
• Support customer security questionnaires and security-related sections of RFPs.

3. Identity & Access Management

• Administer identity and access management processes, including access reviews and MFA enforcement.
• Manage privileged access controls and production access permissions.
• Grant, review, and revoke access to databases, VPNs, and deployment tools.
• Maintain appropriate access records and supporting compliance evidence.

4. Operational Support

• Manage infrastructure and access-related tickets requiring change approval or production access.
• Ensure production changes follow established approval and documentation procedures.
• Provide occasional on-call and after-hours support when required for production operations.
• Maintain clear documentation of releases, approvals, incidents, and security activities.

Must-Have Requirements

• 8+ years of overall infrastructure or release engineering experience.
• 5+ years of direct ownership of production release and deployment pipelines, including rollback procedures.
• 5+ years of ownership of SOC 2 or equivalent compliance change management and audit evidence processes.
• 5+ years of hands-on security operations experience.
• Practical experience administering IAM, including access reviews and privileged access controls.
• Experience supporting customer-facing security questionnaires and RFP security sections.
• Direct experience working with external auditors through at least one complete audit cycle.

Nice-to-Have Skills

• AWS security experience, particularly IAM, security groups, and CloudTrail.
• Familiarity with vulnerability disclosure platforms such as HackerOne or Bugcrowd.
• Experience coordinating third-party penetration tests.
• Familiarity with GRC and compliance platforms such as Vanta, Drata, or similar tools.
• Experience with customer trust and security review platforms such as Conveyor or CSA STAR.
• Previous experience working at a SaaS company serving regulated industries.

What We're Looking For

• Strong ownership: Takes responsibility for production releases, security operations, and compliance evidence.
• Sound judgment: Willing to stop or reject a production change that does not meet the required standards and explain the decision clearly.
• Incident management: Maintains a calm, structured approach when deployments fail or production incidents occur.
• Clear communication: Communicates effectively with engineering teams, external auditors, and customer security stakeholders.
• Attention to detail: Maintains accurate documentation, access records, approvals, and audit evidence.
• Execution-focused mindset: Comfortable managing day-to-day operational responsibilities without relying on strategic leadership duties.

What We Offer

• Flexible work environment with Coimbatore office, hybrid, and remote options.
• Paid holidays and flexible time off.
• Medical insurance coverage of up to ₹4 lakh per person for self and family.
• Opportunities to support production infrastructure and security operations for global clients.
• A culture that values clarity, integrity, accountability, and continuous growth.

AI Solution Architect

Experience: 12+ Years

Location: Coimbatore / Hybrid

Joining: Immediate / Within 30 Days

Primary Skills: Enterprise Architecture, Python, REST APIs, Microservices, Distributed Systems, Cloud (AWS/Azure/GCP), CI/CD, Docker, Kubernetes, Enterprise Data Architecture, Integration Patterns.

Preferred Skills: LLM Integrations, RAG Pipelines, AI Agents, Agentic Workflows, MCP (Model Context Protocol), Vector Databases, Prompt Engineering, LangChain/LlamaIndex, LLMOps, Multi-Agent Orchestration.

About the Role

At Techjays, we're helping companies reimagine how they build, operate, and scale with AI at the core. We focus on building secure, scalable, production-grade AI systems that solve real business problems and deliver measurable outcomes.

We're looking for an AI Solution Architect who can own enterprise-level solution architecture end-to-end. The ideal candidate combines deep technical expertise with the ability to understand complex business challenges, engage with prospective clients, and design compelling, scalable, AI-native solutions.

This is a senior technical role at the intersection of enterprise architecture, pre-sales, solutioning, and delivery governance. You'll collaborate with leadership, engineering teams, and clients to architect solutions spanning AI integrations, RAG pipelines, agentic workflows, cloud infrastructure, and enterprise platforms.

This role requires a strong technical background and current hands-on expertise. Candidates with purely pre-sales experience or non-technical solutioning backgrounds will not be a fit.

Key Responsibilities

• Own end-to-end enterprise architecture for AI-native platforms, defining high-level and low-level designs across backend systems, data platforms, and AI components.
• Lead solutioning for complex enterprise engagements, translating client requirements into technically sound, secure, scalable, and commercially viable architectures.
• Define reference architectures and design standards for LLM integrations, RAG pipelines, agentic workflows, MCP-based integrations, and enterprise data platforms.
• Partner with pre-sales and business development teams to prepare RFP responses, technical proposals, solution presentations, and architecture documents.
• Lead client discovery sessions and technical presentations, communicating architectural decisions and trade-offs to technical and executive stakeholders.
• Conduct architecture reviews and technical assessments to ensure scalability

Senior AI Engineer

Company: Techjays

Experience: 4–8 Years

Location: Coimbatore, Hybrid

Joining: Immediate or within 30 days preferred

About the Role

We are looking for a Senior AI Engineer with strong Python development skills and hands-on experience building and deploying AI-powered applications. The ideal candidate should have practical knowledge of LLMs, Retrieval-Augmented Generation (RAG), vector databases, and scalable backend systems.

You will work closely with engineering and product teams to design, develop, and deploy reliable AI solutions for real-world business problems.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python and frameworks such as Django, Flask, or FastAPI.
• Build and integrate AI-powered applications using LLMs, RAG pipelines, and agentic AI workflows.
• Develop document processing, embedding generation, semantic search, and retrieval pipelines.
• Integrate LLM APIs and optimize prompts, response quality, latency, and cost.
• Work with vector databases and relational databases to build efficient data retrieval systems.
• Design and implement REST APIs, asynchronous processing, caching, and queuing mechanisms.
• Apply software engineering best practices, including design patterns, clean code, testing, and version control.
• Deploy and maintain applications on AWS or GCP using Docker and CI/CD pipelines.
• Monitor production systems, troubleshoot issues, and improve application performance and reliability.
• Collaborate with cross-functional teams to translate business requirements into practical AI solutions.
• Contribute to code reviews, technical documentation, and knowledge sharing within the engineering team.

Required Skills

• 4–8 years of experience in software development, with strong hands-on Python expertise.
• Strong understanding of data structures, algorithms, object-oriented programming, and design patterns.
• Experience building backend applications using Django, Flask, or FastAPI.
• Hands-on experience with LLM-based applications and API integrations.
• Practical experience implementing RAG pipelines, embeddings, and semantic search.
• Experience with vector databases such as Pinecone, Qdrant, Weaviate, or Chroma.
• Strong knowledge of SQL and relational databases such as PostgreSQL or MySQL.
• Experience with caching, message queues, asynchronous processing, and WebSockets.
• Familiarity with AWS or GCP, Docker, Git, and CI/CD pipelines.
• Understanding of API design, system architecture, application security, and performance optimization.
• Experience testing, debugging, and maintaining production-grade applications.

Preferred Skills

• Experience building agentic AI applications and multi-agent workflows.
• Familiarity with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Knowledge of Model Context Protocol (MCP) and tool-calling mechanisms.
• Experience with LLM evaluation, hallucination reduction, and output quality monitoring.
• Familiarity with fine-tuning, model selection, and inference optimization.
• Experience with LLMOps, AI observability, and production monitoring.
• Knowledge of Kubernetes and microservices architecture.

What We’re Looking For

• Strong problem-solving and analytical skills.
• Ability to take ownership of features from development through deployment.
• Practical understanding of how to build reliable AI applications beyond prototypes.
• Ability to make sound technical decisions and explain architectural trade-offs.
• Good communication and collaboration skills.
• Willingness to learn, experiment, and work on challenging AI engineering problems.

Lead AI Engineer

Experience: 8+ Years

Location: Coimbatore / Hybrid

Joining: Immediate or within 30 days

About Techjays

At Techjays, we help businesses reimagine how they build, operate, and scale through AI. We focus on developing secure, scalable, production-grade AI solutions that solve real business problems and deliver measurable outcomes.

Our engineering team brings experience from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We combine strong engineering fundamentals with an execution-focused mindset to build advanced AI systems for global clients.

About the Role

We are looking for a Lead AI Engineer to drive the architecture and development of scalable backend systems and AI-powered applications.

In this role, you will lead the technical design and implementation of Python-based systems, oversee LLM integrations and RAG pipelines, and develop agentic AI workflows for production environments. You will take ownership of complex engineering challenges, establish coding and architectural standards, and mentor engineers to deliver reliable, maintainable, and high-performing solutions.

This is a hands-on technical leadership role for someone who can translate complex requirements into practical engineering solutions and take them from design to production.

Key Responsibilities

1. Backend Engineering & System Architecture

• Design and develop scalable, secure backend systems using Python and frameworks such as Django or Flask.
• Architect RESTful APIs, WebSocket services, and distributed systems that support high-performance applications.
• Apply design patterns, algorithms, and data structures to solve complex engineering challenges.
• Design efficient database schemas, caching strategies, and data access patterns for scalable applications.
• Establish engineering standards for code quality, testing, maintainability, and system performance.

2. AI Engineering & LLM Integration

• Architect and implement LLM-powered applications, retrieval-augmented generation (RAG) pipelines, and agentic AI workflows.
• Develop solutions using vector databases, embeddings, semantic search, and prompt engineering.
• Build and optimize multi-agent systems, orchestration workflows, and tool integrations using frameworks such as LangChain and LlamaIndex.
• Implement Model Context Protocol (MCP) integrations where appropriate to connect AI systems with external tools and data sources.
• Evaluate model fine-tuning approaches and other techniques to improve AI performance where required.
• Establish LLMOps practices covering evaluation, observability, quality monitoring, and cost and latency optimization.

3. Cloud Infrastructure & Deployment

• Design and deploy cloud-native applications using AWS and GCP services.
• Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or similar tools.
• Containerize applications using Docker and support deployment and operations in Linux environments.
• Implement reliable asynchronous processing and messaging using queuing systems.
• Improve system availability, scalability, security, and deployment reliability across production environments.

4. Technical Leadership & Engineering Excellence

• Own technical decisions across complex backend and AI engineering initiatives.
• Guide engineers in architecture, implementation, debugging, code reviews, and engineering best practices.
• Identify performance bottlenecks and drive improvements in application reliability and scalability.
• Collaborate with product managers, frontend engineers, data scientists, and other stakeholders to deliver effective solutions.
• Evaluate emerging AI technologies, frameworks, and tools, adopting them when they provide meaningful technical or business value.
• Take ownership of features from technical design through implementation, deployment, and production support.

Required Technical Skills

Backend Development

• Strong Python programming expertise.
• Experience with Django, Flask, RESTful APIs, and WebSockets.
• Strong understanding of object-oriented programming, design patterns, algorithms, and data structures.

Databases & Performance

• Experience with PostgreSQL, MySQL, MongoDB, or equivalent database technologies.
• Strong understanding of relational database design, query optimization, and performance tuning.
• Experience implementing caching strategies and asynchronous processing.

Cloud & DevOps

• Hands-on experience with AWS and/or GCP.
• Experience with Git, Docker, Linux, and CI/CD pipelines.
• Familiarity with queuing systems and distributed application architectures.

System Design

• Ability to design secure, scalable, and maintainable backend systems.
• Experience making architecture decisions involving performance, reliability, scalability, and operational complexity.

Preferred AI/ML Skills

• Large Language Models (LLMs) and prompt engineering.
• Retrieval-Augmented Generation (RAG) architecture.
• Vector databases such as Pinecone, ChromaDB, or equivalent.
• Embeddings, semantic search, and retrieval optimization.
• Agentic AI workflows and multi-agent orchestration.
• Model Context Protocol (MCP) and tool integrations.
• LangChain, LlamaIndex, or similar frameworks.
• Model fine-tuning and LLMOps practices.
• AI evaluation frameworks, observability, and production quality monitoring.
• Experience optimizing inference costs, response latency, and AI application performance.

What We're Looking For

• Strong engineering fundamentals: You can solve complex technical problems and design maintainable systems.
• Hands-on ownership: You take responsibility for solutions from concept through production.
• System-level thinking: You understand how architecture, performance, security, and scalability work together.
• Practical AI expertise: You can build and deploy AI-powered applications beyond prototypes and proof of concepts.
• Technical leadership: You guide engineers, improve code quality, and establish sound engineering practices.
• Structured problem-solving: You make thoughtful technical decisions in ambiguous and fast-moving environments.
• Clear communication: You collaborate effectively across engineering and business teams.
• Continuous improvement: You stay current with evolving AI technologies and apply them where they create value.
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What We Offer

• Competitive compensation.
• Flexible work environment with Coimbatore office and hybrid options.
• Paid holidays and flexible time off.
• Medical insurance for self and family, with coverage of up to ₹4 lakhs per person.
• Opportunities to architect and build production-grade AI systems used by real customers.
• Exposure to global clients and technically challenging projects.
• A culture that values ownership, clarity, integrity, and continuous learning.

Director of Engineering (AI Solutions & Delivery)

About the Role

We are looking for a Director of Engineering to lead engineering execution and delivery across our enterprise AI solutions. This role combines strong engineering leadership with operational discipline, ensuring AI products move from technical design to production with predictable timelines, high quality, and reliable performance.

You will lead Engineering Managers and Tech Leads, oversee multiple engineering teams, and drive delivery excellence across AI-powered applications and platforms. The focus is on execution, technical quality, and organizational accountability, ensuring teams deliver scalable, production-ready AI systems without compromising reliability or engineering standards.

Key Responsibilities

1. Engineering Delivery & Execution

• Own engineering delivery schedules, translating product roadmaps into achievable sprint plans and release milestones.
• Establish measurable delivery targets, aiming for at least 85% on-time delivery across engineering teams.
• Identify and resolve cross-team dependencies, technical bottlenecks, and resource constraints before they affect delivery.
• Drive engineering process improvements across Agile development, CI/CD, automated testing, and release management.
• Monitor delivery metrics, sprint commitments, and release readiness to maintain predictable execution.

2. AI Quality, Evaluation & Governance

• Establish automated AI evaluation pipelines to measure hallucinations, relevance, groundedness, and contextual accuracy before production releases.
• Define quality benchmarks and evaluation criteria for LLM-powered applications and AI-driven workflows.
• Implement safety mechanisms, validation filters, circuit breakers, and human-in-the-loop fallbacks to manage unpredictable AI outputs.
• Oversee RAG pipelines, vector databases, data ingestion, and retrieval mechanisms to maintain accurate, reliable, and compliant context.
• Reduce production AI quality regressions through continuous evaluation, monitoring, and feedback loops.

3. Architecture, Scalability & Reliability

• Oversee the architecture of distributed systems and cloud-native applications to support scalability, availability, and performance.
• Drive reliability targets, including 99.9% uptime and low time-to-first-token (TTFT) latency for applicable AI applications.
• Partner with Staff and Principal Engineers to design resilient systems, including fallback mechanisms for model API failures, timeouts, and rate limits.
• Establish engineering standards for code reviews, observability, automated integration testing, and security compliance.
• Ensure production systems meet defined service-level objectives (SLOs) and performance benchmarks.

4. Engineering Leadership & Team Development

• Lead and develop Engineering Managers and Tech Leads, establishing clear ownership, accountability, and delivery expectations.
• Build a high-performance engineering culture focused on technical excellence, collaboration, and continuous improvement.
• Partner with Talent Acquisition to attract, assess, and hire strong software engineering and AI talent.
• Align engineering resources with business priorities, delivery commitments, and technical requirements.
• Address performance and execution challenges while maintaining team engagement and engineering quality.

Success Metrics: First 90 Days

First 30 Days

• Assess existing engineering workflows, delivery pipelines, and release processes.
• Establish baseline AI evaluation criteria and identify gaps in production quality.
• Take ownership of engineering delivery across teams and align expectations with Engineering Managers and Tech Leads.

First 60 Days

• Implement automated AI evaluation frameworks and establish measurable quality benchmarks.
• Improve cross-team coordination and resolve key delivery dependencies.
• Establish consistent sprint planning, release cadences, and delivery reporting.

First 90 Days

• Achieve at least 85% sprint commitment completion.
• Demonstrate measurable reductions in production AI quality regressions.
• Improve system reliability and stabilize latency against defined performance targets.
• Establish clear accountability and predictable delivery practices across engineering teams.

Qualifications & Requirements

• Experience: 14+ years in software engineering, including at least 5 years managing Engineering Managers or Tech Leads in enterprise or high-growth environments.
• AI/ML Expertise: Hands-on experience delivering AI-powered systems involving LLMs, RAG architectures, vector databases, prompt engineering, or model fine-tuning workflows.
• Engineering Delivery: Proven ability to lead multiple engineering teams and deliver complex technical initiatives from design through production launch.
• System Architecture: Experience with distributed systems, cloud-native backend infrastructure, and scalable APIs across AWS, GCP, or Azure.
• AI Quality & Reliability: Understanding of AI evaluation frameworks, production monitoring, hallucination mitigation, guardrails, and system reliability.
• Delivery Management: Strong experience with Agile methodologies, CI/CD, release planning, and engineering performance metrics.
• Leadership: Ability to establish accountability, manage competing priorities, and deliver against ambitious deadlines without compromising quality or team morale.

What Success Looks Like

The successful candidate will establish predictable engineering delivery, improve the quality and reliability of production AI systems, and build a culture of ownership across engineering teams. They will combine technical judgment with execution-focused leadership to ensure AI solutions are delivered on schedule, operate reliably, and meet enterprise expectations.

If you are passionate about building high-performing engineering teams and delivering enterprise-grade AI solutions at scale, we would like to hear from you.

Technical Architect

Experience:

10+ Years

Work Mode:

Onsite / Hybrid

Role Type:

Architecture + Hands-on Engineering + Technical Leadership

Role Overview

We are looking for an experienced and hands-on

Technical Architect

who can define enterprise-widearchitecture, technology strategy, and engineering standards across multiple products and platforms.

The Technical Architect will translate business requirements into scalable technical solutions, guideengineering teams, reduce technical risks, and remain actively involved in implementation when required.

This is

not a purely advisory or documentation-focused role

. The successful candidate should becomfortable contributing directly to production-quality code, prototypes, critical modules, technical fixes,and architectural Proofs of Concept (PoCs).

Key Responsibilities

Define enterprise architecture strategy, target architecture, and technology roadmaps acrossproducts and platforms.

Design scalable, secure, resilient, and maintainable software systems.

Architect cloud-native, distributed, microservices-based, and multi-tenant SaaS solutions.

Translate product and business requirements into architecture, technical designs, serviceboundaries, data models, and API contracts.

Establish architecture governance, coding standards, engineering best practices, and designprinciples.

Conduct architecture reviews, design reviews, code reviews, and technical risk assessments.

Identify scalability bottlenecks, security risks, performance issues, and technical debt.

Drive modernization initiatives and technology evaluations.

Guide technology selection and technical investment decisions.

Mentor Technical Leads, Senior Engineers, and other engineering team members.

Collaborate with Product, Engineering, QA, DevOps, Security, and business stakeholders.

Support technical estimation, solution feasibility, delivery planning, and architecture planning.

Hands-on Engineering Responsibilities

The Technical Architect must remain actively involved in engineering and should be capable of switchingbetween architecture and implementation depending on project requirements.

Responsibilities include:

Develop production-quality backend, frontend, or integration components when required.

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Build technical prototypes, PoCs, reference implementations, and reusable frameworks.

Assist engineering teams with complex technical and production issues.

Perform root-cause analysis and technical troubleshooting.

Contribute to performance and scalability improvements.

Implement or guide security fixes and critical technical modules.

Review existing codebases and recommend improvements.

Drive refactoring and modernization initiatives.

Conduct code reviews and establish implementation patterns.

Pair with engineers when required to translate architectural decisions into working software.

Remain comfortable moving between architecture, design, coding, reviews, and troubleshooting.

Core Technical Skills

Programming

JavaScript

TypeScript

Python

Go / Golang

Java

Spring Boot

Architecture & System Design

Microservices Architecture

Distributed Systems

Multi-Tenant SaaS

Domain-Driven Design (DDD)

Service-Oriented Architecture (SOA)

API-First Architecture

Cloud-Native Architecture

Enterprise Application Architecture

Backend Engineering

Node.js

Express.js

REST APIs / Enterprise APIs

Identity Management

Authentication & Authorization

Messaging

Integration Architecture

Database & Data

MongoDB

Redis

Data Modeling

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Query Optimization

Performance Optimization

Frontend & Mobile

React.js

React Native

Cloud & DevOps

AWS

Docker

Kubernetes

CI/CD

Containerized Applications

Cloud-Native Deployments

Security

Secure Software Development Lifecycle (SSDLC)

API Security

Encryption

Security Governance

Authentication & Authorization

AI & Emerging Technologies

LangChain

Gemini

Retrieval-Augmented Generation (RAG)

AI Agents

OCR

Enterprise Integrations

Enterprise APIs

Payment Gateways

WhatsApp Business Integration

Third-Party System Integrations

These technologies and architecture areas are specified as the core technical expertise for the position.

Product & Engineering Expectations

The ideal candidate should have:

Strong experience building production-grade software products, not only isolated applications or

PoCs.

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Ability to balance ideal architecture with business timelines, budget, maintainability, and

engineering-team capabilities.

Experience working in evolving product environments with changing requirements and multiple

parallel initiatives.

Strong ability to evaluate technology options and explain technical trade-offs.

Ownership mindset with the ability to proactively identify and resolve technical problems.

Strong understanding of reliability, security, observability, performance, scalability, and

maintainability.

Ability to take architectural decisions from initial design through successful production

implementation.

Technical Leadership & Collaboration

Mentor Technical Leads and Senior Engineers.

Establish and promote a strong engineering culture.

Define clear technical direction and engineering standards.

Lead architecture, design, and code reviews.

Participate in technical hiring and evaluation of senior engineering candidates.

Help establish technical interview and engineering assessment standards.

Evaluate architecture, coding, system design, and problem-solving capabilities.

Communicate architecture decisions, technical risks, dependencies, and delivery implications to

leadership.

Promote effective documentation of architecture decisions, APIs, dependencies, and operational

considerations.

Preferred Experience

Experience in one or more of the following areas will be preferred:

FinTech

SaaS Products

AI Platforms

Cloud-Native Applications

Enterprise-Scale Distributed Systems

Nice to Have

Kafka

GraphQL

Serverless Architecture

Machine Learning Platforms

Multi-Cloud Architecture

Ideal Candidate Profile

The ideal candidate is a senior engineer and architect capable of operating at both strategic and

implementation levels.

• Deployment and Integration: Develop and launch production-ready integrations, microservices, ETL pipelines, and API adapters that seamlessly embed our platform into client ecosystems, encompassing ERPs, CRMs, legacy databases, and message brokers.

Senior Software Engineer – SRE Products (Full Stack)

Work Mode: Remote

Experience: 7+ Years

Employment Type: Full-Time

Job Overview

We are looking for a skilled Senior Software Engineer to join our SRE Product Team. The ideal candidate should have strong expertise in Python, backend development, Node.js/TypeScript and AWS cloud technologies.

The role involves developing scalable applications, automation platforms, observability solutions and reliability engineering tools.

Key Responsibilities

• Design and develop scalable backend applications, REST APIs and microservices.
• Build automation platforms and self-service engineering tools.
• Develop cloud-native applications using AWS services.
• Build frontend interfaces using React or Angular.
• Implement monitoring, observability and application reliability solutions.
• Work with platform and cloud engineering teams to improve system performance.

Required Skills

• 7+ years of software engineering experience.
• Strong hands-on experience in Python.
• Good experience with Node.js, JavaScript and TypeScript.
• Expertise in REST APIs, Microservices and Backend Development.
• Hands-on experience with AWS (Lambda, ECS/EKS, API Gateway, DynamoDB, RDS, CloudWatch).
• Experience with React or Angular.
• Knowledge of Docker, Kubernetes and OpenShift.
• Experience with CI/CD pipelines and Terraform.
• Understanding of SRE principles, monitoring and observability.

Good to Have

• Dynatrace, Prometheus, Grafana, Splunk or OpenTelemetry.
• Experience building internal developer platforms.
• Exposure to AIOps, AI Agents or MCP.

Must Have:

 Strong expertise in AEM (Adobe Experience Manager) 6.x or AEM as a Cloud Service

 Hands-on experience with AEM Sites, Assets, Templates, Components, Workflows

 Proficiency in Java, Sling, OSGi, JCR, Apache Felix

 Experience with AEM Dispatcher setup and caching strategies

 Design and implementation of scalable, secure AEM architectures

 Integration with third-party systems (e.g., REST/SOAP APIs, CRM, DAM, Analytics)

 Experience in designing and building custom AEM components and services

 Understanding of CI/CD processes and tools (e.g., Jenkins, Git, Adobe Cloud Manager)

Good to have:

 Familiarity with Adobe Experience Platform (AEP), Adobe Target, Adobe Analytics

 Knowledge of Personalization, SEO best practices, and Web Accessibility (WCAG)

 Experience with Single Sign-On (SSO), SAML, OAuth, Adobe IMS

 Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and containerization

(Docker/Kubernetes)

 Exposure to front-end frameworks (React, Angular, Vue)

Roles & Responsibilities:

 Design scalable, secure, and high-performance AEM architectures (Sites, Assets, Forms, etc.)

 Define content modeling, component architecture, workflows, templates, and metadata

structures.

 Provide guidance on AEM as a Cloud Service, on-premises, or hybrid models.

 Lead architectural decisions, including dispatcher configurations, CDN integration, and

caching strategies.

 Architect integrations with third-party services (CRMs, eCommerce platforms, analytics tools,

etc.)

 Design and oversee development of custom components, servlets, OSGi services, workflows,

and Sling models.

 Work on headless CMS architecture using AEM's GraphQL and Content Fragments.

 Lead a team of developers and QA

 Provide code reviews, mentor junior team members, and conduct technical training sessions.

 Resolve technical blockers and make architectural trade-offs.

 Present architectural decisions and conduct technical workshops or demos.

 Define and manage AEM DevOps pipelines using tools like Jenkins, Git, Adobe Cloud

Manager, etc.

 Enforce code quality, performance testing, and deployment standards.

Eligibility:

 Exp – 12+ Years

 Prior experience of working and collaborating with international clients will be preferred.

 Bachelor’s degree in computer science, Engineering, or related field.

Strong B2B SaaS / ERP Sales Profile with outbound and field sales exposure

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Mandatory (Experience 1): Must have 5+ years in outbound and field sales, with the recent 3+ years in selling ERP solutions/B2B SaaS products

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Mandatory (Experience 2): Must have independently managed deal sizes around INR 50L ARR

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Mandatory (Experience 3): Must have experience in lead generation, coordinating demos/POCs with pre-sales, proposal preparation, commercial negotiation, closure, and payment collection

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Mandatory (Skill 1): Must have owned the full sales cycle: lead generation, coordinating demos/POCs with pre-sales, proposal preparation, commercial negotiation, closure, contracting, and payment collection

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Mandatory (Skill 2): Must have strong communication and the ability to sell to and interact with CXO profiles

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Mandatory (Skill 3): Must be proficient with CRM tools and data analysis to drive sales performance, and able to work independently

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Mandatory (Note 1): This is an IC role

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Mandatory (Note 2): Must be willing to perform field-intensive work involving frequent client visits

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Mandatory (Note 3): This is for Tirupur location, but the opportunity is remote as they do not own an office there

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Preferred (Domain): Must have experience selling to garment or retail industry

About Growpath Capital: We serve Canadian and US small businesses with MCA (merchant cash advance) funding for small businesses. 500+ employees.

Role: MCA Sales Representative on a remote night shift (Canada hours). You will speak with small business owners, explain MCA (merchant cash advance) funding for small businesses, and guide them through the process.

Compensation: Rs 35,000 per month base salary plus commission.

Requirements: 1+ year in telesales, BPO or inside sales; fluent English; a laptop and stable internet; remote night shift (Canada hours).

About the Role

We are looking for a motivated and detail-oriented SEO Intern to join our digital marketing team. This role offers hands-on experience in search engine optimization strategies, including on-page SEO, off-page SEO, backlink building, keyword research, and Technical SEO. The ideal candidate should be proactive, detail-oriented, and passionate about learning SEO and enhancing website search performance.

Key Responsibilities

• Conduct backlink research and perform backlink submission activities across relevant platforms.
• Identify high-quality websites for link-building opportunities.
• Maintain reports on backlink submissions and SEO activities.
• Stay updated with SEO trends, search engine algorithms, and best practices to rank keywords.
• Collaborate with team members on SEO campaigns and optimization tasks.
• Work on different SEO projects in different niche.

Requirements

• Basic understanding of SEO concepts and SEO principles.
• Familiarity with on-page and off-page SEO techniques.
• Knowledge of backlinking and link-building concepts is a plus.
• Strong research and analytical skills.
• Attention to detail and good organizational abilities.
• Proficiency in Excel and basic SEO tools for research and audits.
• Ability to learn quickly and work independently.
• Good written communication skills.

What You'll Gain

• Opportunity to enhance skills in website optimization, keyword mapping, and SEO execution.
• Experience with backlink strategy, planning and execution.
• Opportunity to work on real-time SEO projects including on-page, technical SEO, and link-building tasks.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Perks: Completion Certificate + Letter of Recommendation

About the Role

We are looking for enthusiastic HR Interns to join our team remotely for a 3-month internship. This role is ideal for students or recent graduates who want to gain hands-on experience in Human Resources, recruitment, onboarding, and employee engagement.

Responsibilities

• Assist in the end-to-end recruitment process (job postings, screening, scheduling interviews).
• Support onboarding and offboarding activities.
• Help maintain HR records, databases, and documentation.
• Contribute to HR policies, compliance, and process improvement.
• Assist in planning employee engagement initiatives.
• Coordinate with teams to collect and organize feedback.
• Prepare reports, presentations, and HR-related documents.

Requirements

• Interest in Human Resources, Business Administration, or related fields.
• Strong communication and interpersonal skills.
• Ability to maintain confidentiality and professionalism.
• Good organizational and time management abilities.
• Familiarity with MS Office/Google Workspace tools.
• Ability to work independently in a remote environment.

What You'll Gain

• Exposure to core HR functions including recruitment and employee management.
• Hands-on experience with HR processes and documentation.
• Mentorship from HR professionals.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Perks: Completion Certificate + Letter of Recommendation