983 CI/CD Jobs in India

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.

Job Title : Senior Software Engineer (SRE Products – Full Stack)

Experience : 7+ Years

Domain : Site Reliability Engineering (SRE) Products

Role Overview :

We are looking for an experienced Senior Software Engineer to develop and scale SRE platforms, automation tools, observability solutions, and cloud-native engineering products.

The ideal candidate should have strong backend development expertise in Python, Node.js, JavaScript/TypeScript, and AWS, along with working knowledge of frontend technologies such as React or Angular. The primary focus will be on backend engineering, API development, and platform solutions.

Mandatory Skills :

Python, Node.js, JavaScript / TypeScript, REST APIs, Microservices, AWS, React / Angular, Kubernetes / EKS, CI/CD, Terraform / IaC, and SRE fundamentals (SLI / SLO, Observability, Incident Management & Automation).

Key Responsibilities :

• Design and develop SRE platforms, automation tools, observability solutions, and self-service engineering products.
• Build scalable REST APIs, microservices, and backend applications using Python and Node.js / TypeScript.
• Develop cloud-native applications using AWS services.
• Build frontend interfaces using React, Angular, or TypeScript frameworks.
• Implement reliability, monitoring, automation, and operational excellence practices.
• Work closely with cloud, platform, and application teams to improve system reliability.

Required Skills :

• 7+ years of software engineering experience with full-stack development exposure.
• Strong expertise in Python development.
• Hands-on experience with Node.js, JavaScript / TypeScript, REST APIs, and microservices.
• Strong understanding of distributed systems and backend architecture.
• Hands-on AWS experience: Lambda, ECS / EKS, API Gateway, DynamoDB, SQS / SNS, RDS, and CloudWatch.
• Frontend experience with React, Angular, or similar frameworks.
• Experience with Kubernetes, OpenShift, or EKS.
• Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or CDK).
• Understanding of SRE concepts: SLI / SLO, observability, incident management, and automation.

Good to Have :

• Experience with Dynatrace, OpenTelemetry, Prometheus, Grafana, or Splunk.
• Experience building Internal Developer Platforms (IDP), self-service portals, or engineering productivity tools.
• Exposure to AIOps, AI Agents, MCP, RAG, or GenAI-based engineering solutions.

Key Focus : Strong Python + Backend Engineering + Node.js / TypeScript + AWS + SRE / Platform Engineering.

Job Title: Engineering Manager

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Role Overview

As an Engineering Manager at Timble AI, you will manage, mentor, and scale our core engineering teams (including Backend, Frontend, and AI/ML divisions). You will remain highly technical, contributing to architecture decisions and system design, while taking full ownership of project delivery timelines, agile sprints, and team performance metrics.

Key Responsibilities

1. People Leadership & Mentorship: Manage and grow a cross-functional team of software engineers (SDE-1 to SDE-3). Conduct regular 1-on-1s, drive career growth paths, and foster an innovative, high-ownership engineering culture.
2. Delivery & Agile Project Management: Own the engineering sprint cycles. Work closely with Product Managers to break down roadmaps into execution goals, manage dependencies, and ensure high-velocity, predictable delivery.
3. System Design & Architecture: Provide technical governance and direction. Collaborate on core system architecture, design reviews, and ensure codebases remain clean, scalable, and modular.
4.  Engineering Excellence: Define and monitor key performance indicators (KPIs) for the engineering team, including code quality, test coverage, uptime, and system performance.
5. Hiring & Scaling: Actively partner with the talent acquisition team to identify, interview, and onboard top-tier engineering talent to help build our core verticals.

Required Skills & Qualifications

1. Experience: 5+ years of core software engineering experience, with at least 1–2 years of experience in an engineering management, tech lead, or team leadership role.
2. Technical Roots: Strong foundational background in backend systems, distributed architectures, or AI integration. Prior hands-on experience with Python/Django ecosystems, microservices, cloud infra (AWS/GCP), or heavy automation systems is highly valued.
3. Agile Mastery: Deep familiarity with Agile/Scrum development methodologies, sprint planning tools, and CI/CD pipelines.
4.  Communication: Exceptional interpersonal and cross-functional communication skills, with a track record of translating complex technical visions into clear execution steps.
5.  Education: B.Tech / M.Tech in Computer Science, Information Technology, or a related technical discipline from a reputed institute.

Learn more about us at: https://timbleglance.com

Role Overview

We are looking for a visionary yet hands-on Technical Architect who can define enterprise-wide architecture,

technology strategy and engineering standards across multiple products and platforms. The role is expected to

translate business requirements into scalable technical solutions, guide engineering teams, reduce technical risk,

and remain actively involved in implementation when required. This is not a purely advisory or documentation role:

the Architect may be required to contribute directly to production-quality code, prototypes, critical modules, technical

fixes and architectural proof-of-concepts.

Key Responsibilities

• Define enterprise architecture strategy, target architecture and technology roadmap across products and platforms.

• Design scalable, secure, resilient and maintainable systems aligned with business and product objectives.

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

• Convert product/business requirements into clear architecture, technical designs, service boundaries, data models

and API contracts.

• Establish architecture governance, coding standards, engineering best practices, design principles and technical

decision records.

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

• Identify bottlenecks, scalability concerns, security risks and technical debt, and drive practical remediation plans.

• Drive modernization initiatives, technology evaluation and technical investment decisions.

• Mentor and guide Technical Leads, Senior Engineers and other engineering members.

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

• Support estimation, technical planning, solution feasibility and delivery planning for new products and major

features.

Hands-on Coding & Engineering Responsibility

• The role is explicitly hands-on. When required by project priorities, the Technical Architect will contribute directly to

coding and implementation—not only architecture and reviews.

• Develop production-quality backend, frontend or integration components where architectural complexity, criticality or

delivery timelines require Architect-level involvement.

• Build technical prototypes, Proofs of Concept (PoCs), reference implementations and reusable frameworks to

validate architectural decisions.

• Assist engineers in debugging complex production or development issues and provide root-cause analysis.

• Contribute to performance optimization, scalability improvements, security fixes and critical technical modules.

• Review and improve existing codebases and guide refactoring/modernization without losing delivery focus.

• Pair with engineers when necessary to transfer architecture decisions into working code and establish

implementation patterns.

• Remain capable of switching between architecture, design, coding, review and technical troubleshooting based on

business/project requirements.

Core Technical Expertise

• Programming: JavaScript, TypeScript, Python, Go (Golang), Java / Spring Boot

• Architecture: DDD, SOA, API-First, Distributed Systems, Multi-Tenant SaaS

• Backend: Node.js, Express.js, Identity, Authentication/Authorization, Messaging

• Data: MongoDB, Redis, Data Modeling, Query/Performance Optimization

• Frontend/Mobile: React.js, React Native

• AI: LangChain, Gemini, RAG, AI Agents, OCR

• Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD

• Security: SSDLC, API Security, Encryption, Governance

• Integrations: WhatsApp Business, Payment Gateways, Enterprise APIs

Product & Engineering Expectations

• Strong understanding of building production-grade software products rather than isolated applications or

proof-of-concepts only.

• Ability to balance ideal architecture with business timelines, budget, maintainability and team capability.

• Comfort working in an evolving product-company environment where requirements may change and multiple

initiatives may run in parallel.

• Ability to make pragmatic technology choices and clearly explain trade-offs to both technical and non-technical

stakeholders.

• Ownership mindset: identify problems proactively, propose solutions and follow through until the technical outcome

is delivered.

• Strong emphasis on reliability, security, observability, performance, scalability and maintainability from design

through production.

Leadership & Collaboration

• Mentor Technical Leads and senior engineers and help establish a strong engineering culture.

• Set clear technical direction without creating unnecessary process or bureaucracy.

• Participate in hiring and technical evaluation of senior engineering candidates when required.

• Help define technical interview standards and assess architecture, coding and problem-solving capability.

• Work directly with leadership to communicate architecture decisions, technical risks, dependencies and delivery

implications.

• Promote documentation of important architecture decisions, APIs, dependencies and operational considerations.

Preferred Qualifications

Experience in FinTech, SaaS, AI platforms, cloud-native architectures and enterprise-scale distributed systems.

Nice to Have

Kafka, GraphQL, Serverless, Machine Learning Platforms, Multi-Cloud Architecture.

What We Expect From the Right Candidate

The ideal candidate

Senior QA Analyst (Agentic AI)

Location - Chennai

Experience - 5-8 yrs

Job Summary -

Defines, develops, maintains, and executes test scripts for IT projects and/or maintenance items in

an Agile environment utilizing Atlassian JIRA and Zephyr for sprint backlog and test management.

Strives to ensure that user stories and/or system requirements are satisfied for internal and external application users. Ensures project/sprint testing is complete, and testing risks are identified before

implementation. Manages defects from identification to closure through the Software Development Life Cycle. Leverages agentic AI tools and AI-assisted testing platforms to accelerate test design, script

generation, and defect triage, while applying sound professional judgment to validate AI-generated outputs and safeguard overall test quality.

Job Responsibilities -

• Integrated Scrum team member responsible for upholding and ensuring quality assurance standards; contributes and participates in all Scrum activities and ceremonies.

• Defines, develops, and maintains test scripts, leveraging agentic AI tools (e.g., AI-based test-generation and self-healing automation agents) to accelerate script creation and upkeep. Reviews test scripts—including those authored or modified by AI agents—and provides

feedback to less experienced team members.

• Independently executes test plans and test scripts based on planned project schedules and in accordance with QA methodology.

• Proactively escalates issues to the Product Owner/Tech Lead and alerts the project/Scrum team on potential impact to the test schedule.

• Records and tracks defects uncovered during the execution of test scripts, including those surfaced by autonomous AI testing agents. Drives defects toward resolution; proposes and designs retest cases, scripts, and data, using agentic AI to accelerate root-cause analysis where appropriate. Contributes to defect management: defect status, root cause, and daily triage meetings.

• Provides timely and accurate defect status information and appropriate metrics to facilitate QA reporting. Reports individual status: dashboard information, open issues, and risk analysis.

• Participates in validation of release candidate/production deployments and production support testing as needed.

• Provides consistent and uninterrupted testing services to the organization and minimizes risk of system downtime.

• Reviews requirements/user stories and specifications and provides input during requirements and specification walkthroughs.

• Develops and executes SQL queries.

• Configures, directs, and supervises agentic AI testing tools within the QA workflow, including AI agents that generate, execute, and self-heal test scripts. Validates agent-produced results for accuracy and completeness and escalates cases where AI output requires deeper human judgment or intervention.

• Applies effective prompt engineering and critically reviews AI-generated test artifacts (test cases, scripts, data, and defect summaries) for correctness, coverage, and compliance with QA

standards, serving as the human-in-the-loop checkpoint for AI-driven testing activities.

• Uses Claude Code to author, execute, and validate Playwright automation test scripts for UI and API test coverage, reviewing and refining AI-generated automation code to ensure it meets QA

coding standards and reliably validates application behavior.

• Contributes to the development of test plans, the project testing approach, and related documents. Understands and contributes to the process of test estimates and project schedules.

• Participates in test planning, test case design, and test script walkthroughs with QA Leads. Understands testing to be accomplished and suggests changes for efficiencies within or between

projects. Actively participates and contributes to the QA design.

• Adheres to established standards and methodologies, including responsible use and governance of agentic AI testing tools. Utilizes tools and methodologies, including agentic AI and automation platforms, to improve individual effectiveness and increase efficiencies in the QA

process.

• Develops and sustains appropriate relationships and communication with peers and other project team members.

Requirements -

• Bachelor's degree or an equivalent combination of education and work experience.

• Minimum of 5–8 years' experience in Quality Assurance.

• 1+ years' experience leading test projects. Training in project management or equivalent knowledge.

• Experience with, or strong aptitude for, agentic AI and AI-assisted testing tools (e.g., AI-based test generation, self-healing automation, autonomous QA agents) is highly desirable.

Skills -

• Strong leadership capabilities, good judgment, and the ability to work effectively with a diverse workforce.

• Excellent verbal and written communication skills.

• Strong analytical, problem-solving, and planning ability. Detail-oriented and Observant.

• Ability to multitask to accomplish workload efficiently. Excellent time management.

• Good work ethic and general business acumen.

• Proficient in the Microsoft Office suite.

• Working knowledge of agentic AI and AI-assisted testing tools; ability to apply prompt engineering, critically evaluate AI-generated test artifacts, and maintain human oversight and accountability over AI-driven testing outputs.

• Hands-on experience with the Playwright test automation framework and with Claude Code or similar agentic coding tools for generating, executing, and validating automation scripts.

• Experience with the system development lifecycle. Extensive knowledge of test engineering methodologies.

• Working knowledge of testing concepts, verification and validation techniques, defect management, quantitative methods, risk management, and measurement programs.

• Understanding of relational database principles, client/server infrastructure, and n-tier architecture concepts.

• Working knowledge of defect tracking, quality principles, and testing tools.

• Knowledge of MS SQL Server, AWS Postgres, Web, Mobile, Accessibility, and Middle tier testing.

Professional Competencies -

• Ethical decision making: acts in the best interest of the organization, demonstrates integrity in all situations, and holds self and others to the organization's values.

• Focus on business results: understands the financial implications of business decisions, sets ambitious goals, and prioritizes sustained business performance.

• Honoring commitments: meets or exceeds performance expectations and inspires trust by delivering on promises.

• Embracing change: participates actively in the change process, shows resiliency and commitment during times of change, revises priorities and adapts project plans or work tasks as

needed, and takes initiative to improve own capabilities as the business changes.

• Service delivery: delivers service in compliance with contracted agreements, meets or exceeds established performance standards, and uses available tools and systems to deliver timely, accurate work.

Role Overview:

Virtana is seeking a Senior Manager, Global DevOps Engineering to lead the global team, platforms, and infrastructure that enable rapid, reliable product delivery. This leader will own DevOps strategy and execution across SaaS (GCP heavy, with presence in AWS and Azure) & on-premises Infrastructure, CI/CD, automation, reliability, security, and developer productivity, while aligning distributed teams and cross-functional stakeholders around measurable business outcomes.

Key Accountabilities:

• Strategy and Execution: Set the global DevOps roadmap and operating model, aligned with product, engineering, and business priorities.
• Global Leadership: Build, lead, and develop a high-performing team across geographies, with clear accountability and consistent engineering practices.
• Cloud and Platform Ownership: Own the architecture, reliability, security, scalability, and cost efficiency of global GCP and hybrid infrastructure.
• Software Delivery: Advance secure, standardized CI/CD, Infrastructure as Code, automation, and self-service capabilities to accelerate delivery and improve quality.
• Operational Excellence: Establish SLOs, observability, incident response, disaster recovery, governance and metrics for critical platforms. Own the global on-call program and serve as the escalation point for major incidents from SaaS Infra/DevOps side.
• Executive Partnership: Align stakeholders on priorities, investments, dependencies, and risk; communicate outcomes and tradeoffs to senior leadership.

Required Qualifications:  

• 15+ years in software engineering, infrastructure, cloud operations, or DevOps, including 5+ years leading senior or management-level teams.
• Proven success in leading global teams across geographies, cultures, and time zones.
• Deep expertise in GCP architecture, security, networking, reliability, and cost governance.
• Demonstrated ownership of enterprise CI/CD, build and release automation, and modern software delivery practices.
• Strong experience with Terraform or equivalent Infrastructure as Code, Kubernetes, containers, observability, SRE, and disaster recovery.
• Track record operating secure, resilient global infrastructure for fast-paced development and release environments.
• Daily hands-on use of AI tools (e.g., Claude) for IaC, CI/CD pipelines and incident response, with a record of driving AI adoption that improves delivery speed and quality.
• Executive-level communication and stakeholder leadership, with the ability to align priorities, resolve tradeoffs, and develop strong leaders.

About the role

We are looking for a technically strong software engineering leader to own software quality, architecture and integrated delivery across our India software organisation. Our robots depend on multiple software disciplines working together reliably. You will help shape technology strategy and organisational direction, and translate that into sound architectural decisions, strong engineering practices and dependable execution. This is a hands-on leadership role combining technical depth, people management and accountability for outcomes.

Location: Bengaluru, Karnataka,  Reports to: Chief Technology Officer · Experience: 10+ years

About Us

We are building robots to maintain, organise and reset common public and commercial spaces — offices, campuses, venues and other high-traffic facilities. We are building a hybrid end-to-end architecture where classical and modern methods work together for maximum reliability and robustness, with R&D in Bengaluru and Wellington, New Zealand.

What you will do

Technology direction and architecture: help shape technology strategy and drive architecture decisions across robot software, cloud services, data processing and model training infrastructure. Own system-level requirements — latency, compute and memory budgets, end-to-end reliability. Establish clear interfaces and component ownership, and resolve technical trade-offs across the stack.

Software quality, security and engineering practices: set and embed standards for code quality, testing, documentation, observability and secure development. Own the software security review and audit process across robot and cloud systems, working with specialists where needed. Build quality into everyday development through effective reviews, automated validation and measurable acceptance criteria.

Integrated software delivery: own delivery across teams, turning product priorities into realistic plans with clear commitments, dependencies and milestones. Resolve execution bottlenecks and hold teams accountable for working software and demonstrated robot behaviour.

Integration, resilience and release readiness: own integration and release readiness across robot software, cloud services, and data and training pipelines, including Kubernetes. Define and validate behaviour during connectivity loss, service degradation and component failures, including safe fallback, recovery and rollback. Establish reproducible builds and simulation, hardware-in-the-loop, on-robot and cloud testing.

Hands-on technical leadership: stay close to implementation through critical design and code work, complex debugging and direct involvement in the most consequential technical problems.

People and team development: lead and develop engineers and technical leads; build capability through hiring, coaching, clear performance expectations and stronger technical ownership.

Cross-team alignment: bring teams together around shared technical decisions and delivery outcomes, including teams outside your reporting line.

Experience

• At least 10 years in robotics or AI, including technical leadership roles
• Strong understanding of autonomy systems such as VLA/VLM models, SLAM, planning, perception and ML-based decision-making
• Python, C++, ROS, and ML stacks such as PyTorch or TensorFlow
• Experience with robotics, embedded systems, autonomous systems or comparable products where software interacts with physical hardware
• Practical experience improving automated testing, continuous integration, release processes and production reliability
• Evidence of delivering programmes spanning multiple teams, including teams outside your reporting line
• Experience architecting and operating cloud platforms, containerised workloads, and large-scale data processing or model training pipelines

What success looks like

• Teams deliver predictably against a shared plan, with clear ownership and fewer late integration surprises
• Architecture supports product goals and makes the software easier to extend, test and maintain
• Releases produce measurable improvements in robot behaviour and reliability
• Recurring failures, escaped defects and avoidable engineering rework decrease
• Engineers and technical leads grow in capability, ownership and execution independence

Immediate-Joiner Only

We are looking for a Dedicated Candidate for the following role –

Role: .NET Tech Lead

Experience: 7+ Years

Location: Hybrid (Noida)

Duration: 6 Months

Required Skills:

Experience with React.

Strong knowledge of system design, scalable solutions, and application architecture.

Hands-on experience with SQL databases.

Expertise in .NET Core and backend development.

Solution Architect experience is preferred.

Experience with Azure DevOps and CI/CD pipelines.

Job Title: Senior Android Developer

Location: Pune

Experience: 6–10 Years

Employment Type: Full-Time

Notice Period: Immediate Joiners

Job Description:

Looking for an experienced Senior Android Developer with strong expertise in Kotlin, Java, Android SDK, Jetpack Compose, MVVM, Clean Architecture, REST APIs, and Coroutines. Must have experience in application development, performance optimization, unit testing, code reviews, and mentoring junior developers.

Key Skills: Android, Kotlin, Java, Jetpack Compose, MVVM, Clean Architecture, REST API, Coroutines, JUnit, Git, CI/CD.

Mandatory Questions:

1. Total experience in Android development?
2. Hands-on experience with Kotlin and Jetpack Compose?
3. Current location?
4. Are you an immediate joiner?

Snowflake Administrator

What You’ll Do

• Observability: Monitor Snowflake queries, virtual warehouses, tasks, data loads, and overall account health. Identify and resolve operational issues.
• FinOps & Cost Optimization: Monitor credit consumption, storage, and warehouse costs. Optimize warehouse sizing, auto-suspend settings, and resource monitors.
• User Management: Manage Snowflake users, roles, onboarding, offboarding, and Role-Based Access Control (RBAC).
• Privilege Access Management: Review grants, privileged roles, access policies, and audit logs to enforce the principle of least privilege.
• Platform Maintenance: Maintain Snowflake account settings, integrations, and routine operational health checks.
• Service Desk Management: Triage incidents and service requests, investigating query failures, access issues, and platform-related problems.
• Enhancements & Automation: Improve Snowflake configurations, automate operational tasks, and streamline support processes.
• Business Continuity & Recovery: Support backup and retention policies, Time Travel, Fail-safe, and data recovery procedures.
• Deployment & CI/CD: Support controlled releases of Snowflake objects, roles, scripts, and configurations through CI/CD pipelines.
• Data Load Troubleshooting: Resolve issues related to Snowpipe, COPY commands, stages, file formats, connectivity, and scheduled data loads.
• Transformation & Data Model Support: Perform first-line troubleshooting of failed tasks, SQL errors, and schema changes.
• Functional Data Support: Investigate initial data availability and quality issues, coordinating with data owners for resolution.
• Project Support: Assist engineering teams with Snowflake environments, integrations, and migrations.
• Documentation: Maintain runbooks, access management procedures, operational guides, and knowledge base articles.

What We’re Looking For

• 5+ years of experience in data platform administration, operations, or production support, including hands-on Snowflake experience.
• Strong knowledge of Snowflake administration, including RBAC, virtual warehouses, query history, performance tuning, and cost optimization.
• Hands-on experience with Snowflake data loading, stages, tasks, Snowpipe, and cloud platforms such as AWS or Azure.
• Proficiency in SQL and familiarity with Python for scripting and automation.
• Experience with CI/CD pipelines, Jira, ITSM processes, and monitoring or automation tools.
• Strong troubleshooting, documentation, communication, and stakeholder management skills.

Position Summary

We are seeking a hands-on Mid-Level Azure Cloud Engineer to manage, maintain, and optimize our Microsoft Azure environment. The ideal candidate has strong experience across Azure infrastructure, networking, security, identity, automation, and cloud operations, and can

independently support day-to-day cloud administration an deployments.

Responsibilities

 Manage and maintain Azure infrastructure, including virtual networks, virtual machines,

storage, Azure SQL, App Services, Key Vault, and Azure Functions.

 Administer Microsoft Entra ID (Azure AD), RBAC, Conditional Access, and

identity/security policies.

 Monitor cloud health, performance, costs, and security using Azure Monitor, Log

Analytics, and Microsoft Defender.

 Implement and maintain Infrastructure as Code (Terraform, Bicep, or ARM templates).

 Support CI/CD pipelines using Azure DevOps and Git.

 Configure backups, disaster recovery, high availability, and business continuity solutions.

 Troubleshoot Azure networking, application, and infrastructure issues.

 Work closely with development, security, and infrastructure teams to ensure reliable cloud operations.

Qualifications

 4–7 years of Azure cloud engineering experience.

 Strong hands-on experience with Azure networking, compute, storage, App Services, Azure SQL, Key Vault, and Azure Monitor.

 Experience with Microsoft Entra ID (Azure AD), RBAC, MFA, Conditional Access, and identity management.

 Experience with Azure DevOps, Git, CI/CD, PowerShell, and Infrastructure as Code (Terraform, Bicep, or ARM).

 Knowledge of cloud security, governance, backup, disaster recovery, and cost optimization.

 Strong troubleshooting, documentation, and communication skills.

 Experience supporting production cloud environments in an enterprise setting.

Preferred Skills

 Experience with Kubernetes (AKS), Docker, Azure API Management, Azure Front Door, and Microsoft Defender for Cloud.

 Azure Administrator (AZ-104) or Azure Solutions Architect (AZ-305) certification preferred.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or

equivalent experience.

Role Overview

We are looking for a DevOps / Platform Engineer with 3–4 years of experience to help manage AWS cloud infrastructure, automation, and AI-ready platform operations. You will work closely with engineering and AI teams to ensure scalable, secure, and reliable deployments.

Key Responsibilities

1. AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
2. AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
3. CI/CD & Automation: Build and maintain deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.
4. Containers & Kubernetes: Deploy and maintain containerized applications using Docker and Kubernetes (EKS) or ECS.
5. Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
6. Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.

Must-Have Skills & Qualifications

1. 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
2. AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
3. Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
4. Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
5. Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
6. CI/CD & Observability: Experience building CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) and using monitoring tools (CloudWatch, Prometheus, Grafana, or Datadog).

Nice-to-Have Skills

1. Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
2. Experience with event-driven messaging systems (Kafka, Redis, or SQS).
3. Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
4. AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

Job Title : Senior AWS DevSecOps & AI Platform Engineer

Experience Required : 5+ Years in AWS / Cloud Engineering

Terraform Experience : 4+ Years

Location : Gurugram

Work Mode : Onsite

Employment Type : Full-time

About the Role :

We are looking for an experienced Senior AWS DevSecOps & AI Platform Engineer with strong expertise in AWS cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), CI/CD automation, cloud security, and database administration.

The ideal candidate will be responsible for designing and maintaining secure, scalable, reliable, and cost-efficient cloud environments while supporting microservices-based applications and implementing DevSecOps best practices. The role also involves building and deploying AI agents using Amazon Bedrock and Bedrock AgentCore, along with managing enterprise development and collaboration tools.

Mandatory Skills :

AWS (EC2, EKS, ECS, Lambda, S3, CloudWatch), Kubernetes, Terraform, Jenkins, Bitbucket Pipelines, CI/CD, DevSecOps, AWS Security Services (IAM, WAF, GuardDuty, Security Hub, KMS, Secrets Manager), Microservices, Helm, PostgreSQL, Oracle SQL, RDS, Jira, Confluence, Amazon Bedrock, Bedrock AgentCore, AWS Networking, and Cloud Cost Optimization.

Key Responsibilities :

• AWS Cloud Infrastructure : Design, implement, and maintain AWS infrastructure with a focus on scalability, availability, security, reliability, and cost optimization.
• Microservices & Containerization : Manage and support distributed microservices architectures, including deployment, monitoring, troubleshooting, performance optimization, service meshes, and API gateways.
• Kubernetes Administration : Administer and optimize Kubernetes clusters, including Amazon EKS and self-managed environments, covering upgrades, networking, workload management, scaling, and resource optimization.
• Cloud Security & Compliance : Implement and manage AWS security services, including IAM, GuardDuty, Security Hub, WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
• DevSecOps Implementation : Integrate security testing, vulnerability scanning, container security, and compliance-as-code tools into CI/CD pipelines.
• CI/CD & Source Control : Manage Bitbucket repositories, branching strategies, permissions, and Bitbucket Pipelines. Build and optimize Jenkins pipelines using declarative and scripted approaches.
• Infrastructure as Code : Develop and maintain Terraform modules, manage remote state and workspaces, detect infrastructure drift, and implement reusable infrastructure provisioning practices.
• Database Administration : Provision, manage, secure, and optimize AWS RDS databases, particularly PostgreSQL and Oracle, including backups, replication, patching, performance tuning, and migrations.
• Jira & Confluence Administration : Manage projects, workflows, automation rules, permissions, user access, spaces, schemes, and plugins.
• Monitoring & Reliability : Define and monitor SLIs, SLOs, and SLAs; implement observability best practices; and participate in incident management, root cause analysis, and post-incident reviews.
• AI Agent Development : Design, build, and deploy AI agents using Amazon Bedrock and Bedrock AgentCore, including agent runtime, memory, tools, gateway integration, identity and access management, guardrails, and lifecycle management across environments.
• Cloud Connectivity : Support hybrid cloud connectivity using AWS Direct Connect, VPN, and Transit Gateway.
• Cost Optimization : Apply FinOps practices to monitor cloud expenditure, optimize resource utilization, and improve infrastructure efficiency.
• API Integrations : Integrate third-party APIs while implementing authentication, rate limiting, error handling, and webhook management.

Required Skills & Qualifications :

• 5+ years of hands-on experience with AWS cloud services, including EC2, ECS, EKS, Lambda, ALB, CDN, S3, CloudWatch, Amazon Bedrock, and Bedrock AgentCore.
• Strong understanding of AWS networking, multi-account strategies, landing zone architecture, and hybrid connectivity.
• 4+ years of practical experience with Terraform, including module development, remote state management, workspaces, drift detection, and state operations.
• Extensive experience administering Kubernetes, preferably Amazon EKS, including Helm, Kustomize, operators, RBAC, network policies, autoscaling, and multi-tenancy.
• Proven experience managing distributed microservices, service meshes, API gateways, and inter-service communication.
• Strong knowledge of AWS security services, including IAM, Service Control Policies (SCPs), WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
• Experience implementing least-privilege access, zero-trust principles, and cloud security compliance controls.
• Hands-on experience integrating DevSecOps tools such as Snyk, Trivy, Checkov, and SonarQube into CI/CD pipelines.
• Understanding of OWASP security principles, CIS benchmarks, vulnerability management, and container security.
• Proficiency in Bitbucket repository administration, branch permissions, and YAML-based Bitbucket Pipelines.
• Strong experience developing and maintaining Jenkins CI/CD pipelines, shared libraries, plugins, and build agents.
• Experience administering AWS RDS databases, particularly PostgreSQL and Oracle SQL, including backup, replication, performance tuning, and migration activities.
• Experience administering Jira and Confluence, including workflows, permissions, automation, and plugin management.
• Working knowledge of Azure services, particularly Web Apps and Logic Apps/Workflows.
• Practical experience with Amazon Bedrock, including model invocation, guardrails, and AI agent development and deployment using Bedrock AgentCore.
• Understanding of third-party API integration, authentication mechanisms, rate limiting, error handling, and webhook management.
• Familiarity with FinOps practices and cloud cost optimization.

Good-to-Have Skills :

• Additional Azure experience, including networking, Azure SQL Managed Instance, and Azure Kubernetes Service (AKS).
• Hands-on experience with AI-driven Development Lifecycle (AI-DLC) methodologies and tools such as Kiro.

Relevant certifications, such as :

• AWS Certified Solutions Architect
• AWS Certified DevOps Engineer – Professional
• AWS Machine Learning or Generative AI certifications
• Certified Kubernetes Administrator (CKA)
• HashiCorp Terraform certifications

Ideal Candidate Profile :

The ideal candidate is a hands-on cloud and DevSecOps professional who can manage enterprise-scale AWS infrastructure, automate deployments, strengthen security controls, troubleshoot complex distributed systems, and support AI agent development. Strong problem-solving skills, an automation-first mindset, and the ability to collaborate across development, security, and infrastructure teams are essential.

Experience: 8+ years (including 5+ years hands-on with Apache Kafka platform engineering)

Key Responsibilities

• Manage Kafka cluster lifecycle: provisioning, configuration tuning, upgrades, and decommissioning

• Deploy, operate, and maintain Kafka on Kubernetes using Confluent for Kubernetes (CFK)

• Monitor cluster health and set up alerting across consumer lag, broker health, and topic throughput

• Design and operate disaster recovery and multi-region replication strategies

• Enforce Kafka security policies including access reviews and ACL management

• Troubleshoot performance bottlenecks, consumer lag issues, and broker failures

Must Have

• 8+ years in messaging/streaming platform engineering, with 5+ years on Apache Kafka platform engineering

• Hands-on administration of self-managed on-premises Kafka clusters in KRaft mode

• Confluent for Kubernetes (CFK): operator management and custom resource configuration

• Kafka Connect: connector lifecycle, SMTs, and error handling

• Confluent Schema Registry; schema evolution and compatibility modes

• Kafka security: TLS/mTLS, SASL, and ACL configuration and troubleshooting

• Proficiency in Java or Scala; Python for scripting and tooling

• Observability: Prometheus, Grafana, and OpenTelemetry

Good to Have

• Apache Flink for complex event processing beyond Kafka Streams

• CDC pipelines into Kafka

• Operational experience with MirrorMaker 2 or Confluent Replicator in multi-DC setups

• Knowledge of event-driven architecture or data mesh principles

• Build and maintain infrastructure-as-code for Kafka resources

• Integrate Kafka platform changes with CI/CD pipelines for topic and schema deployments

Job Description

Who are we?

Interestingly, in our own corner of the world, a hardworking team bent on hyper-excellence has quietly built a new way of medicine, a platform built on science, story, and soul.

Think of Amura as a "hospital on the cloud." We help people achieve the best standard of health they possibly can, taking full responsibility for their journey. We're a team of curious, ambitious individuals across all fields of work. Here, Doctors work alongside health coaches, designers, engineers, writers, and even filmmakers.

A cloud can reach anywhere and so can we. Our patients are from all over the world, and we are changing lives globally from your new home in Chennai. Over the last 8 years we have helped tens of thousands of people live better lives across 45 countries. 

Role Overview

We are looking for a hands-on Senior Software Engineer - Mobile to build and scale high-quality mobile experiences at Amura Health.

You will work primarily with React Native across both Android and iOS, partnering closely with Product, Design and Backend teams to build reliable, performant and user-friendly applications.

This role is ideal for an engineer who takes ownership, solves problems independently and uses AI-assisted development to build, test, debug and ship software faster without compromising engineering quality. 

What you'll do :

● Build, enhance and maintain React Native applications for both Android and iOS.

● Build features involving APIs, real-time updates, chat, notifications, local storage and data synchronisation.

● Develop scalable and maintainable mobile architecture with strong focus on performance, reliability and code quality.

● Develop scalable and maintainable mobile architecture with strong focus on performance, reliability and code quality.

● Work closely with Product, Design and Backend teams to translate requirements into simple, effective mobile experiences. 

● Diagnose and resolve performance issues, crashes, bugs and production problems.

● Implement secure handling of user data, authentication and API communication.

● Write unit, integration and UI tests and contribute to reliable release processes.

● Own features end-to-end, from understanding requirements and development through testing, release and iteration.

● Use AI coding tools to accelerate development, debugging, testing, code reviews and technical problem-solving.

● Proactively identify technical challenges and recommend practical solutions. 

What We're Looking For :

● 5 to 6 years of hands-on mobile application development experience.

● Strong professional experience with React Native and TypeScript.

● Mandatory: Experience building and maintaining applications for both Android and iOS.

● Strong understanding of React Native architecture, mobile app lifecycle, state management, API integration and performance optimisation.

● Experience working with REST APIs, authentication, local storage, push notifications and asynchronous data flows.

● Experience debugging and resolving Android/iOS-specific issues and production bugs.

● Good understanding of mobile security, data handling and secure API communication.

● Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot or similar to improve engineering productivity.

● Strong problem-solving skills with the ability to independently own and deliver features.

● Good product thinking and attention to detail. 

Good to Have :

● Experience with chat, voice, video or real-time communication features.

● Experience building AI-powered mobile experiences or integrating AI/LLM-based features.

● Experience with mobile analytics, crash monitoring and performance monitoring.

● Familiarity with CI/CD and automated mobile releases.

● Experience working on healthtech, consumer apps or products handling sensitive user data. 

Job Summary

We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.

Mandatory Skills

• Strong experience in Linux administration and troubleshooting.
• Hands-on experience with Git and version control systems.
• Strong knowledge of CI/CD pipelines and automation.
• Experience with Docker and containerization.
• Hands-on experience with Kubernetes and/or OpenShift.
• Cloud experience with AWS and/or Microsoft Azure.
• Infrastructure as Code (IaC) using Terraform.
• Scripting experience using Python and Shell scripting.
• Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.

Additional Skills

• Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
• Understanding of networking concepts and troubleshooting.
• Exposure to AIOps and intelligent monitoring solutions.
• Experience with certificate management and secrets management.
• Knowledge of infrastructure automation, deployment, and performance monitoring.
• Strong troubleshooting, problem-solving, and collaboration skills.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
• Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
• Automate infrastructure provisioning and configuration using Terraform.
• Manage cloud infrastructure across AWS and/or Azure.
• Develop automation scripts using Python and Shell.
• Implement monitoring, logging, and observability solutions.
• Integrate security practices into DevOps workflows and CI/CD pipelines.
• Manage certificates, secrets, and secure access to infrastructure and applications.
• Troubleshoot infrastructure, application, networking, and deployment issues.
• Improve system reliability, scalability, security, and operational efficiency.

Job Title : Full-Stack AI Product Engineer

Experience : 3+ Years

Work Mode : Remote

Time Zone : IST

Engagement Type : Freelance

Availability : Must be comfortable attending US client calls during IST night hours.

Role Overview :

We are looking for a Full-Stack AI Product Engineer with hands-on experience building and deploying production-ready AI-powered applications. The ideal candidate should have strong Python backend development skills, practical expertise in LLMs, AI agents, RAG pipelines and tool calling, along with basic frontend development knowledge.

Mandatory Skills :

Python, FastAPI, AI / LLMs, AI Agents, RAG, Tool Calling, PostgreSQL, Redis, Docker, GCP / Cloud Run, CI/CD, Basic React.js / Next.js.

Key Responsibilities :

• Design, develop and maintain AI-powered products using Python and FastAPI.
• Build and integrate LLM-based applications, AI agents, RAG pipelines and tool-calling workflows.
• Develop scalable backend services and REST APIs.
• Work with PostgreSQL and Redis for data storage, caching and performance optimization.
• Containerize applications using Docker and deploy services on GCP, preferably Cloud Run.
• Implement CI/CD pipelines and follow production deployment best practices.
• Develop and integrate basic frontend features using React.js or Next.js.
• Troubleshoot production issues, optimize performance and ensure application reliability.
• Collaborate with US-based clients and stakeholders during IST night hours when required.

Required Skills :

• 3+ years of relevant software development experience.
• Strong proficiency in Python and FastAPI.
• Hands-on experience with AI / LLMs and production-level AI product development.
• Practical experience building AI agents, RAG pipelines and tool / function-calling workflows.
• Good knowledge of PostgreSQL and Redis.
• Experience with Docker, GCP / Cloud Run and CI/CD pipelines.
• Basic working knowledge of React.js or Next.js.
• Understanding of REST APIs, application architecture, deployment and production debugging.
• Excellent problem-solving and communication skills.

Preferred Qualifications :

• Experience deploying and maintaining AI applications in production.
• Familiarity with LLM orchestration frameworks and vector databases.
• Experience with cloud-native application development and monitoring.

Important Requirements :

• Must have demonstrable, hands-on experience delivering production-grade AI products.
• Must be comfortable working remotely and coordinating with US clients during IST night hours.

We are looking for a Release Management professional with experience in SDLC, CI/CD techniques, Agile/Scrum methodologies, and ITIL processes. The candidate will be responsible for coordinating release activities, managing deployment schedules, ensuring smooth production releases, and collaborating with cross-functional teams to deliver quality software.

Responsibilities

• Plan, coordinate, and manage end-to-end release management activities across environments.
• Prepare release plans, deployment schedules, and release documentation.
• Coordinate with Development, QA, DevOps, and Operations teams to ensure successful releases.
• Monitor and manage CI/CD pipelines and deployment processes.
• Ensure compliance with SDLC standards, ITIL processes, and change management procedures.
• Participate in Scrum ceremonies and Agile delivery activities.
• Identify release risks, dependencies, and issues, and ensure timely resolution.
• Conduct post-release validation and coordinate rollback activities when required.
• Maintain release calendars, status reports, and deployment records.

Required Skills

• Strong knowledge of Release Management and Software Development Life Cycle (SDLC).
• Understanding of CI/CD techniques and deployment processes.
• Experience working with Agile and Scrum methodologies.
• Knowledge of ITIL processes, including Change Management and Incident Management.
• Strong coordination, communication, and stakeholder management skills.
• Experience with release planning, deployment tracking, and risk management.

Roles and Responsibilities

• Build features across the stack — Implement product features that span the React frontend, the GraphQL federation, the Node.js microservices, and the underlying Postgres and ClickHouse stores.
• GraphQL federation work — Add types, resolvers, and subgraph capabilities to the federated Platform API. Keep subgraph boundaries clean. Respect RBAC enforcement at the federation layer.
• Developer experience surfaces — Lift NPS through intuitive UI/UX, fast onboarding, in-browser testing, clear error states, code-snippet generation, and fast time-to-first-successful-call.
• Billing and commerce features — Ship subscription, plan, invoice, payout, and overage features that touch Stripe / PayPal webhooks, the billing state machine, and the usage ledger.
• API catalog and discovery — Improve marketplace search and the API listing experience, including the ranking signals that flow in from the analytics and search stack.
• Observability and quality — Instrument every feature you ship — logs, traces, and metrics are part of the definition of done, not a follow-up ticket. Write the alerts that page you, not someone else.
• Testing discipline — Own unit and integration tests for everything you ship; contribute to the end-to-end and contract test suites that protect the federation and the billing path. A feature without tests is not done.
• On-call and incident response — Take part in on-call rotations; investigate proxy errors, GraphQL federation timeouts, and billing webhook anomalies. You build it, you run it.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are shipped, reviewed, and tested.

What Success Looks Like

•  Features you ship measurably improve activation, time-to-first-successful-call, and developer NPS quarter over quarter.
• The GraphQL federation surface you touch stays fast, well-typed, and intuitive for the next engineer.
• Billing, subscription, and overage flows you build are accurate, auditable, and replayable — providers and consumers trust the numbers.
• ou ship at a confident cadence — PRs land daily, deploys are routine and boring, regressions are rare.
• You leave the code, the docs, and the tests in better shape than you found them.

What You Bring

• 4–7 years of full-stack product engineering experience, with non-trivial work on production systems used by real customers.
• Strong TypeScript/Node.js; comfort writing both frontend (React) and backend services.
• Hands-on GraphQL experience — ideally federation (Apollo Federation / Mercurius / similar), schema design, subgraph composition, persisted queries, performance tuning.
• Solid SQL and comfort with MySQL or Postgres in production; bonus for ClickHouse or Redis experience.
• Familiarity with AWS (EKS, Lambda, Aurora) and containerised deployment on Kubernetes.
• Comfortable with modern observability, feature flags, and CI/CD pipelines.
• Care for developer experience — APIs you would want to consume, docs you would want to read, errors you would want to debug.
• Bonus: experience with billing/commerce systems (Stripe / PayPal), API gateways, rate-limiting, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.
• You are pragmatic, ship-oriented, and comfortable in a system big enough that no one person knows all of it.

Job Summary

We are looking for an experienced Release Management Engineer with strong knowledge of release management, Software Development Life Cycle (SDLC), CI/CD techniques, Agile, Scrum, and ITIL processes. The candidate will be responsible for planning, coordinating, and managing software releases across development, testing, staging, and production environments while ensuring release quality, compliance, and minimal business disruption.

Key Responsibilities

• Plan, coordinate, and manage end-to-end release activities across multiple environments.
• Define release schedules, deployment plans, release calendars, and implementation timelines.
• Coordinate with development, QA, DevOps, infrastructure, security, and business teams to ensure successful releases.
• Manage release readiness reviews, approvals, deployment execution, rollback plans, and post-release validation.
• Ensure adherence to SDLC standards, release policies, and change management procedures.
• Understand and support CI/CD pipelines to improve build, testing, deployment, and release automation.
• Work with tools such as Jenkins, Git, GitLab CI/CD, GitHub Actions, Azure DevOps, or similar platforms.
• Facilitate Agile and Scrum practices, including sprint planning, release planning, daily stand-ups, and retrospectives.
• Follow ITIL practices for Change Management, Release Management, Incident Management, and Problem Management.
• Assess release risks, dependencies, and potential impacts before production deployment.
• Track release progress, manage deployment issues, and coordinate incident resolution during release windows.
• Maintain release documentation, deployment checklists, change records, release notes, and audit evidence.
• Conduct post-implementation reviews and identify opportunities for continuous improvement.
• Prepare release status reports, metrics, and stakeholder communications.

AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine strong software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

• Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
• Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
• Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
• Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
• Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
• Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
• Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
• Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
• Lead technical discussions and design reviews with US client stakeholders.
• Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications

• 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
• Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
• Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
• Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
• Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
• Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
• Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
• Excellent written and spoken English, documentation, and stakeholder management skills.
• Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

• Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Azure AI Search or equivalent retrieval tools.
• LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
• Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
• Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
• Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

• Designing secure, scalable, production-ready AI solutions rather than demos or conceptual presentations.
• Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
• Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
• Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

• Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
• Working schedule: 3:00 PM – 12:00 AM IST.
• Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

• Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
• Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
• Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
• Lead a technical design review with US client stakeholders.
• Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

• Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
• Proficiency in IaC tools such as Terraform and/or CloudFormation.
• Solid scripting skills in Python, Bash, or equivalent for automation tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
• Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
• Strong troubleshooting mindset and experience resolving production-level issues.
• Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

• AWS certifications (e.g., SysOps Administrator).
• Experience with containerization (Docker, Kubernetes/EKS/ECS).
• Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
• CI/CD pipeline, infra pipelines.
• AWS services like compute, network, storage, security.
• Migration experience like Discovery/Assessments, TA, Infra Design.

Job Title : Senior Data Engineer – GCP & Apache Spark

Job Details :

• Number of Positions : 3
• Employment Type : Contract-to-Hire (C2H)
• Experience Required : 5 to 8 Years
• Location : Manyata Tech Park, Bengaluru
• Work Mode : Hybrid – 3 Days in Office per Week
• Preferred Notice Period : Immediate to 15–20 Days
• Project Duration : Initially 6–8 months, with a strong possibility of extension for long-term projects
• Relocation : Candidates from outside Bengaluru can apply if they are willing to relocate.

Role Overview :

We are looking for experienced Senior Data Engineers with strong expertise in Google Cloud Platform (GCP), Apache Spark, BigQuery, and SQL to design, develop, and maintain scalable data pipelines and distributed data processing solutions.

The ideal candidate should have hands-on experience with cloud-based data engineering, end-to-end pipeline architecture, system design, performance optimization, debugging, and CI/CD practices.

Mandatory skills :

Apache Spark (PySpark / Scala), SQL, GCP, BigQuery, GCP Dataproc, Data Pipelines, System Design, CI/CD, Debugging & Problem-Solving.

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines using Apache Spark, PySpark, and/or Scala.
• Build and optimize batch and distributed data processing workflows on GCP.
• Work extensively with BigQuery for data transformation, validation, analytics, and query optimization.
• Develop and maintain data workflows using GCP services, including Dataproc, BigQuery, and Cloud Storage.
• Design end-to-end data pipeline architectures with a focus on scalability, reliability, and performance.
• Write and optimize complex SQL queries for large-scale datasets.
• Troubleshoot and resolve data processing issues, pipeline failures, and performance bottlenecks.
• Implement CI/CD practices for data engineering workflows, testing, and deployments.
• Monitor pipeline performance and identify opportunities for continuous improvement.
• Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
• Participate in code reviews, testing, production deployments, and production support.

Mandatory Skills :

• Strong hands-on experience with Apache Spark, including PySpark and/or Scala.
• Strong SQL skills and experience working with large-scale datasets.
• Hands-on experience with Google Cloud Platform (GCP).
• Practical experience with BigQuery and data warehousing concepts.
• Working knowledge of GCP Dataproc.
• Strong understanding of data pipelines, end-to-end workflows, and system design.
• Practical experience with CI/CD and deployment processes.
• Excellent debugging, troubleshooting, and problem-solving skills.

Preferred Skills :

• Experience with Apache Airflow, Google Cloud Composer, or similar orchestration tools.
• Knowledge of Kafka or other streaming and messaging technologies.
• Proficiency in Python for data engineering and automation.
• Experience with Git-based development workflows.
• Knowledge of Linux/Unix environments and shell scripting.
• Familiarity with monitoring, logging, data quality, and governance practices.

Required Qualifications :

• 5 to 8 years of experience in Data Engineering, Big Data Engineering, or a related field.
• Proven experience developing and maintaining scalable data pipelines.
• Strong understanding of distributed data processing and cloud-based data architecture.
• Ability to troubleshoot complex technical issues and optimize pipeline performance.
• Strong communication, collaboration, and ownership skills.

Interview Process :

Round 1 : AI-Based Interview

• Candidates must complete the AI interview as soon as possible after receiving the invitation.

Round 2 : Virtual Interview Drive

• Interviews are planned for the upcoming drive; exact dates will be communicated separately.

Round 3 : Online Client Interview

• Shortlisted candidates will attend the online interview.
• Candidates must be available throughout the day on the scheduled interview date.

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

NonStop io is seeking a proficient Java Developer to join our dynamic team. In this role, you will contribute to designing, developing, and maintaining high-quality Java-based applications. You will work closely with cross-functional teams, ensuring the delivery of robust and scalable software solutions.

Responsibilities:

• Develop and Maintain: Write clean, efficient, and maintainable code for Java-based applications
• Collaborate: Work with cross-functional teams to gather requirements and translate them into technical solutions
• Code Reviews: Participate in code reviews to maintain high-quality standards
• Troubleshooting: Debug and resolve application issues in a timely manner
• Testing: Develop and execute unit and integration tests to ensure software reliability
• Optimize: Identify and address performance bottlenecks to enhance application performance

Qualifications & Skills:

• Strong knowledge of Java, Spring Framework (Spring Boot, Spring MVC), and Hibernate/JPA
• Experience with microservices architecture, distributed systems, and complex system design
• Familiarity with RESTful APIs and web services
• Proficiency in working with relational databases like MySQL or PostgreSQL
• Experience with build tools like Maven or Gradle
• Understanding of version control systems, especially Git
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Understanding of AWS environments and cloud-based application deployment
• Experience working with CI/CD pipelines and DevOps practices
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work effectively in a collaborative team environment 

Why Join Us?

• Opportunity to work on cutting-edge technology products
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you

Position: Test Engineer (Manual / Automation)

Location: Bangalore

Experience: 3-5 years

Employment Type: Full-time

About the Role

We are looking for a skilled Test  Engineer with strong experience in manual and automation testing to collaborate  QA efforts across multiple projects. The ideal candidate will drive testing strategy and ensure product quality through process excellence and automation adoption.

Key Responsibilities

·       Define and implement test strategies, plans, and quality standards.

·       Oversee test design, execution, defect tracking, and triage.

·       Drive automation and integrate testing with CI/CD pipelines.

·       Collaborate with cross-functional teams for timely, quality releases.

·       Track and report QA metrics (defect density, coverage, leakage, progress).

·       Conduct risk-based testing and prioritize critical areas.

·       Manage test data, environments, and reviews for continuous improvement.

·       Ensure best testing practices and high-quality delivery across projects.

Required Skills & Qualifications

• Bachelor’s in Computer Science, IT, or related field.
• Strong manual testing and test case design skills.
• Hands-on experience with automation tools (Selenium, Playwright, Cypress, etc.).
• API testing experience (Postman, Swagger).
• Understanding of SDLC, Agile/Scrum, and CI/CD.
• Excellent problem-solving, communication, and mentoring skills.

Good to Have

• Knowledge of performance testing tools (JMeter, LoadRunner).
• Exposure to cloud-based testing (AWS, Azure).

Why Join Us?

• Lead a high-performing QA team with real ownership.
• Build automation frameworks and influence testing strategy.
• Exposure to full SDLC and enterprise-scale applications.
• Growth path toward QA Manager / Head of QA.

Principal Software Engineer

Location: Bangalore India

Department: AI Engineering / Quality Assurance

Experience Level: Mid to Senior

We are looking for a highly motivated Senior AI Test / Automation Engineer to design and scale automated validation frameworks for AI/ML models, LLM-based applications, and agentic systems. This role is critical to ensure that AI solutions meet enterprise standards for quality, reliability, safety, and compliance before and after production deployment.

Key Responsibilities

• Build and maintain AI test automation frameworks for pre-qualification and continuous validation of models and agent workflows
• Develop comprehensive test suites, including:
• Unit, integration, and end-to-end (E2E)
• Functional, regression, performance, and safety testing
• Validate AI system behavior, including:
• Non-deterministic LLM outputs
• Hallucinations and edge cases
• Multi-step agent decision-making
• Design and manage evaluation systems:
• Golden datasets
• Benchmarking pipelines (accuracy, latency, reliability)
• Automate testing within CI/CD pipelines for model updates, prompt changes, and tool integrations
• Implement observability and telemetry to enable traceability, monitoring, and audit readiness
• Collaborate cross-functionally with ML, MLOps, Product, and Security teams to define quality gates and release criteria
• Track and report quality KPIs, including test coverage, defect leakage, and system reliability
• Drive root-cause analysis and continuous improvement across the AI testing lifecycle

Required Skills

Core Engineering

• Strong programming skills in Python; familiarity with Bash, TypeScript, or Go
• Experience with test automation frameworks such as PyTest, Playwright, Selenium, or Cypress
• Proficiency in CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes)

AI / ML & Agentic Systems

• Hands-on experience with LLM ecosystems (OpenAI, Anthropic, Bedrock)
• Familiarity with:
• RAG architectures and vector databases (Pinecone, Weaviate)
• Agent frameworks (LangChain, LlamaIndex, AutoGen)

AI Testing Techniques

• Experience with non-deterministic testing approaches (statistical assertions, tolerance thresholds)
• Knowledge of evaluation methods:
• LLM-as-a-judge
• BLEU, ROUGE, semantic similarity scoring
• Experience with prompt and agent regression testing
• Understanding of AI safety testing, including adversarial testing, bias/fairness validation, and jailbreak detection

Tooling (Preferred)

• AI testing & observability tools: LangSmith, TruLens, Arize, Weights & Biases
• Evaluation tools: DeepEval, Ragas, PromptFoo, Giskard
• Monitoring: Prometheus, Grafana, OpenTelemetry

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and cross-functional collaboration
• Data-driven mindset with focus on quality KPIs
• Detail-oriented with a strong bias toward automation and scalability

Experience Requirements

• 7+ years in QA, SDET, or test automation engineering
• Proven experience building and scaling automation frameworks
• Hands-on experience with AI/ML systems or LLM-based applications
• Experience testing RAG pipelines or agentic workflows
• Owned end-to-end AI test strategy and architecture
• Defined quality metrics and release gates
• Delivered scalable validation pipelines for production AI systems
• Supported audit and compliance readiness

Preferred

• Experience in enterprise or regulated environments (SOC2, ISO 27001, etc.)
• Exposure to:
• Shift-left testing practices
• Production observability and monitoring
• Chaos or resilience testing

Senior-Level Differentiators

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Nice-to-have:

• ISTQB certification
• Cloud/ML certifications (AWS, Azure, GCP)
• AI testing certifications

What Success Looks Like

• AI systems that are accurate, reliable, and safe
• Fully automated test pipelines integrated into CI/CD
• Measurable improvements in defect leakage and model quality
• Strong observability and auditability across AI systems
• Scalable validation frameworks supporting rapid AI innovation

Hiring: Java & Angular Full Stack Developers

Location: Bangalore

Work Model: Hybrid – 3 Days per Week Onsite

Experience: 3–5 Years and 5–7 Years

Key Skills: Java 8+, Spring Boot, Angular, TypeScript, JavaScript, HTML5, CSS3, REST APIs, Microservices, JPA/Hibernate, SQL, JUnit, Mockito, Git and CI/CD.

Role & Responsibilities:

Looking for hands-on Java & Angular Developers with strong backend and frontend development experience to build secure, scalable enterprise applications.

Candidates should have experience in Java, Spring Boot, REST API development, Angular components, services, reactive forms, RxJS, database integration, unit testing, debugging and performance optimization.

Good understanding of microservices, Agile methodologies, code reviews and CI/CD practices is expected.

Good to Have: Docker, Kubernetes, AWS/Azure/GCP, Kafka, NgRx, MCP servers, GitHub Copilot, prompt engineering and AI-assisted development.

Strong problem-solving skills, good communication, hands-on coding expertise and the ability to work collaboratively with cross-functional teams.

Job Summary

We are looking for an experienced Senior .NET Developer with strong hands-on expertise in .NET 8, .NET Core, C#, ASP.NET Web API, SQL Server, and Angular 15+. The ideal candidate should have experience developing scalable web applications, designing RESTful APIs, working with cloud platforms, and implementing CI/CD pipelines and infrastructure automation.

Mandatory Skills

• Strong hands-on experience with .NET 8, .NET Core, C#, and .NET Framework.
• Experience in developing and maintaining Web APIs and RESTful APIs.
• Strong knowledge of SQL Server, database design, and query optimization.
• Hands-on experience with Angular 15+.
• Experience with Docker and containerized applications.
• Working experience with at least one cloud platform: GCP, Azure, or PCF.
• Experience with CI/CD pipelines and deployment automation.
• Knowledge of Terraform for infrastructure as code.
• Experience with unit testing frameworks such as MSTest or xUnit.

Key Responsibilities

• Design, develop, test, and maintain scalable applications using .NET technologies.
• Build and integrate RESTful APIs and backend services.
• Develop responsive front-end applications using Angular 15+.
• Work with SQL Server for database development, optimization, and performance tuning.
• Deploy and manage applications using Docker and cloud platforms.
• Implement and maintain CI/CD pipelines for automated builds, testing, and deployments.
• Use Terraform to automate infrastructure provisioning and configuration.
• Write unit tests using MSTest or xUnit to ensure code quality and reliability.
• Troubleshoot technical issues, optimize application performance, and ensure security best practices.
• Collaborate with cross-functional teams, participate in code reviews, and contribute to technical design discussions.

Required Qualifications

• 6–12 years of experience in .NET application development.
• Strong problem-solving, analytical, and debugging skills.
• Good understanding of software development best practices and design principles.
• Ability to work independently and collaboratively in an Agile environment.

Key Responsibilities • Design, develop, and maintain scalable backend applications using Node.js, TypeScript, and Express.js. • Build and maintain microservices-based applications and APIs. • Work with MongoDB and at least one SQL database. • Implement Redis caching to improve application performance and scalability. • Work with AWS cloud services and support cloud-based application deployment. • Apply good understanding of network and infrastructure concepts while developing and troubleshooting applications. • Build and maintain CIICD pipelines for automated build, testing, and deployment. • use Git effectively for source control and collaborative development. • Containerize and deploy applications using Docker. • Write and maintain unit test cases using appropriate testing tools/frameworks. • Troubleshoot performance, scalability, and production issues and implement effective solutions. • Take end-to-end ownership of assigned modules and deliverables. • Work independently with minimal supervision and proactively resolve technical challenges.

Must-Have Skills • Node.js • TypeScript • Express.js • MongoDB • SQL — any one SQL database • Redis/ Redis Caching • AWSCloud • Network & Infrastructure fundamentals • Microservices Architecture • Docker • CI/CD Git • unit Testing / Test Automation • Abilityto work independently and take ownership Good to Have • Microsoft Azure knowledge • Experience working With Code Bots / Al-assisted development tools Lead N s Developer Pune • Domain experience in FinTech, Travel, ERP, or IoT Experience &

Other Requirements • 5—7 years Of relevant software development experience. • Strong hands-on experience in backend development using Node.js and TypeScript. • Good understanding Of scalable and distributed system design. • Strong problem-solving, debugging, and analytical skills. • Ability to independently manage tasks and deliver production-ready solutions. • Immediate joiners or candidates With a short notice period are preferred

Required Skills:

• Strong experience in Site Reliability Engineering (SRE) and DevOps practices.
• Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
• Strong knowledge of AWS, Azure, or GCP cloud platforms.
• Experience with Docker, Kubernetes, and container orchestration.
• Hands-on experience with Terraform, Ansible, or other Infrastructure as Code (IaC) tools.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Splunk, ELK, or Datadog.
• Good scripting skills in Python, Bash, or Shell scripting.
• Understanding of SLI, SLO, SLA, error budgets, and service reliability.
• Experience in incident management, troubleshooting, root-cause analysis (RCA), and production support.
• Knowledge of system performance monitoring, capacity planning, high availability, and disaster recovery.
• Experience with Linux/Unix administration and networking fundamentals.
• Familiarity with Agile methodologies, Git, and automated deployment practices.

Job Description

We are looking for an experienced .NET Full Stack Developer with strong expertise in backend and frontend development. The ideal candidate should have hands-on experience in building, developing, and maintaining scalable web applications using C#, .NET/.NET Core, Angular 16, SQL, PostgreSQL, and AWS.

Key Responsibilities

• Design, develop, and maintain scalable web applications using C#, .NET and .NET Core.
• Develop responsive and user-friendly web applications using Angular 16, JavaScript, HTML, and CSS.
• Develop and integrate RESTful APIs and third-party services.
• Design, write, optimize, and maintain complex SQL queries, stored procedures, and database objects.
• Work with SQL Server and PostgreSQL databases.
• Implement application features following coding standards, security practices, and development best practices.
• Participate in the complete software development lifecycle, including design, development, testing, debugging, deployment, and maintenance.
• Deploy and manage applications using AWS cloud services.
• Develop and maintain CI/CD pipelines for automated build, testing, and deployment.
• Troubleshoot production issues and perform application performance optimization.
• Collaborate with developers, QA teams, business analysts, and other stakeholders to understand requirements and deliver quality solutions.
• Participate in code reviews and ensure code quality, scalability, maintainability, and security.
• Work in an Agile/Scrum development environment.

Mandatory Skills

• C#
• .NET / .NET Core
• ASP.NET Core
• Angular 16
• JavaScript
• HTML5 / CSS3
• SQL
• PostgreSQL
• REST API / Web API
• AWS
• CI/CD
• DevOps
• Git

Backend

• C#
• .NET / .NET Core
• ASP.NET Core
• Web API
• RESTful APIs
• Entity Framework / EF Core
• LINQ

Frontend

• Angular 16
• JavaScript / TypeScript
• HTML5
• CSS3
• Responsive UI development

Database

• SQL
• SQL Server
• PostgreSQL
• Complex queries
• Stored Procedures
• Database optimization

Cloud & DevOps

• AWS
• AWS cloud services
• CI/CD pipelines
• Build and deployment automation
• Git / GitHub
• Basic DevOps practices

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience working in Agile/Scrum environments.
• Good knowledge of Git and modern software development practices.
• Experience with application performance tuning and production support.
• Strong problem-solving and analytical skills.
• Good communication and collaboration skills.

Full Stack Developer – AI/ML & GenAI

Location: Mumbai

Experience: 7–9 Years

Employment Type: Full-time

Virtual Drive: Saturday

We are looking for a Python Full Stack Developer with 3+ years of hands-on experience in AI/ML and Generative AI.

Key Skills: Python Full Stack, FastAPI/Flask/Django, React/Angular, AI/ML, GenAI, LLMs, RAG, Embeddings, Vector Databases, Cloud (AWS/Azure/GCP), CI/CD, Docker & Kubernetes.

Role: Salesforce Conga Developer

Experience: 7+ Years

Joining: Immediate Joiners Preferred

Location: Remote

Budget: 1.75lpm

Role Overview

We are looking for an experienced Salesforce Developer with strong hands-on expertise in Conga Composer, Conga E-Signature, Conga Templates, and Conga Queries. The ideal candidate will be responsible for designing, developing, and implementing document generation and e-signature solutions integrated with Salesforce. The role requires strong Salesforce development skills and the ability to work closely with business stakeholders to deliver scalable and automated solutions.

Key Responsibilities

● Design and implement end-to-end document generation solutions using Conga Composer within Salesforce.

● Create, configure, and manage Conga Composer templates, queries, and Composer buttons based on business requirements.

● Integrate Conga E-Signature with Salesforce to enable secure and automated document signing workflows.

● Gather, analyze, and document functional and technical requirements by collaborating with business and technical stakeholders.

● Develop and customize Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, and Custom Metadata to support Conga functionality.

● Configure and maintain document generation and business automation workflows.

● Troubleshoot and debug Salesforce-Conga integration issues and provide timely resolutions.

● Perform unit testing, integration testing, deployment, and post-production support.

● Ensure solutions follow Salesforce and Conga best practices, scalability, security, and maintainability standards.

● Support enhancements, production issues, and continuous improvement of existing Salesforce-Conga solutions.

Required Skills & Experience

● 4+ years of hands-on Salesforce Development experience.

● Strong hands-on experience with Conga Composer.

● Experience with Conga E-Signature and Salesforce integration.

● Strong knowledge of Conga Templates and Conga Queries.

● Proficiency in Apex, LWC, Salesforce Flows, and Custom Metadata.

● Proven experience in Salesforce-Conga integration and document automation.

● Good understanding of document generation, e-signature, and business process automation.

● Experience with Salesforce configuration, customization, testing, deployment, and troubleshooting.

● Strong analytical, problem-solving, debugging, and communication skills.

Preferred Skills

● Experience working with complex Conga Composer solutions and document workflows.

● Knowledge of Salesforce APIs and integration patterns.

● Experience with Salesforce deployment tools and CI/CD practices.

● Salesforce certifications such as Platform Developer I/II or Administrator will be an advantage.

Education

● Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Key Skills

Salesforce Development | Conga Composer | Conga E-Signature | Conga Templates | Conga Queries | Apex | LWC | Salesforce Flows | Custom Metadata | Document Automation | Salesforce-Conga Integration

Company Name: Money Honey Financial Services Pvt Ltd Company Profile: We are a one-stop financial services shop, widely known for quality of its advice, personalized service and cutting-edge technology. We started our journey in 2008. Currently we are serving more than 50,000 investors with a team of 100 members. Our core product offering is mutual fund, FD, Govt. Bonds, Debenture, etc. Role Description: This role directs the entire IT infrastructure, software engineering, and digital transformation strategy to support secure, scalable, and compliant technology and business operations.  

Skills and Experience Required:  15+ years in IT delivery, application development, and enterprise architecture, with leadership tenure in regulated financial environments.  Strong background in enterprise application architecture, cloud migrations (AWS/Azure/GCP), API integrations, and scalable database management using Microsoft and open source technology stack  AI / ML Strategy: identifying and implementing high-impact use cases for Generative AI, Agentic AI, predictive analytics, and process automation  Domain Expertise: Deep understanding of financial services (mutual fund, corporate fixed deposits, bonds etc.) and critical financial workflows  

Responsibilities:

  Strategic Technology Leadership: Define and execute the long-term technology vision, digital transformation roadmaps, and engineering strategies aligned with business growth.

  Application Development & Delivery: Oversee IT development functions, software product engineering, and core transaction platforms ensuring high availability and minimal downtime

 Infrastructure & Operations Management: Manage robust cloud and on premise infrastructure, network architecture, and 24/7 production support systems

 Governance, Risk & Compliance (GRC):Ensure adherence to ISO standards, regulatory frameworks, data privacy laws, and stringent cybersecurity standards Location: Goregaon (W), Ram Mandir road, Mumbai Work Model:

Work from office (all working days) 

**Please apply directly through our careers page**

Who We're Looking For

We are looking for engineers who share our passion for technology and rise to meet hard technical challenges. Individual contributors who thrive in a collaborative culture and a strong technical environment — self-starting, dynamic, and quick to pick up new technologies in order to deliver working solutions with minimal direction.

This is a backend-heavy full-stack role: you should be an engineer who is at home in distributed, server-side systems first, with the range to also work competently across the stack when a feature calls for it.

What You'll Do

We are seeking a Full-Stack Software Engineer to work closely with the architecture team on enhancements to Provenir's cloud-native, microservices-based decisioning engine (rules/graph-based execution).

This role requires deep, hands-on backend expertise and extends into full ownership of features end to end — from service design through UI integration and deployment.

• Design, build, and evolve microservices for Provenir's decisioning engine using Core Java and Spring Boot.

• Design and implement synchronous and asynchronous REST APIs that power decisioning workflows across the platform.

• Apply multi-threading and performance-tuning techniques to keep high-throughput decisioning services fast and reliable at scale.

• Build and maintain event-driven integrations using Kafka and ActiveMQ (or equivalent message queuing technologies) to support distributed, asynchronous processing.

• Model and manage data across relational and NoSQL stores (MySQL, MongoDB) using ORM tools such as Hibernate, Ebeans, or OpenJPA.

• Practice test-driven development, writing and maintaining unit tests as a core part of the delivery process.

• Containerize and deploy services with Docker and Kubernetes, working within a single-region, multi-AZ

AWS deployment architecture, and contribute to CI/CD pipelines (Git, GitHub Actions, Jenkins, Terraform, Datadog).

• Own features across the full SDLC — design, testing, implementation, deployment, and maintenance — in partnership with the architecture team.

• Build and maintain Angular or React or any frontend framework components and modules that surface decisioning workflows and configuration screens, integrating cleanly with backend REST APIs.

• Contribute to responsive UI work using TypeScript, HTML5/CSS3, and frameworks such as Material-UI, Bootstrap, or Tailwind.

What's Required

Experience & Education

• Minimum of 5 years of professional software development experience — this is a firm minimum for the role.

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.

• Minimum 5+ years of hands-on experience with Core Java, Spring Boot, Angular or React or any frontend framework, AWS, multi-threading, and performance tuning.

• Proven experience designing, building, and deploying microservices architectures in cloud environments.

• 4+ years designing and developing synchronous and asynchronous REST web services.

• Experience with message queuing technologies such as Kafka, ActiveMQ, or equivalent.

• 4+ years working with ORM tools (Hibernate, Ebeans, or OpenJPA) across relational and NoSQL databases (MySQL, MongoDB).

• 4+ years of test-driven development and unit testing practice.

• Solid grounding in OOA/OOD and design patterns — knowing where, why, and how to apply them.

• Hands-on experience with AWS, containerization and orchestration (Docker, Kubernetes), and CI/CD tooling (Git, GitHub Actions, Jenkins, Terraform, Datadog).

Full-Stack / Frontend Exposure

• Working knowledge of Angular or React or any frontend framework, with hands-on experience integrating front-end applications with backend REST services.

• Practical, hands-on experience with HTML5, CSS3, and responsive UI frameworks such as Material-UI, Bootstrap, or Tailwind.

Nice to Have

• Experience with Scrum/Agile development methodologies.

• Unix/Linux operating system knowledge.

• Broader exposure to event-driven and distributed system design beyond core messaging integration.

• Exposure to systems supporting ML/DL/AI model training, testing, or execution within a production product stack.

Why You Should Join Us

Our employees are empowered to be curious, forward-thinking engineers. We ask them to explore the uncharted and build the unimagined — that's what makes Provenir unique.

We offer comprehensive health and wellness plans. You'll enjoy paid time off and company holidays, flexible and remote-friendly options, along with benefits to plan for your future.

At Provenir, you'll be part of a dynamic, growing team that prides itself on building highly innovative, adaptable, and configurable software solutions, in a collaborative culture and strong technical environment.

To learn more,

visit www.provenir.com.

Equal Opportunity

Provenir is an Equal Opportunity Employer. We recognize that diversity and inclusion make our teams stronger,

and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, national

origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status,

citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply

Job Title : DevOps Engineer

Experience : 7+ Years

Working Hours : 3:30 AM – 11:30 AM ET

Duration : 12–18 Months

Engagement : Contract

Freelance : Not Applicable

BGV : Required

Role Overview :

We are looking for an experienced DevOps Engineer to design, implement, and optimize DevOps practices, CI/CD pipelines, deployment automation, and cloud-native delivery platforms. The role will focus on enabling secure, reliable, and efficient software delivery while improving infrastructure automation, release processes, platform reliability, and operational resilience.

Mandatory Skills :

DevOps, CI/CD, Azure DevOps / GitHub Actions, Kubernetes, Docker, PowerShell / Python / Bash, Automation, Monitoring & Observability, DevSecOps, IaC, Troubleshooting, and Production Support.

Key Responsibilities :

• Design, build, and maintain CI/CD pipelines for enterprise application delivery and release management.
• Develop deployment automation frameworks to improve release quality, consistency, scalability, and efficiency.
• Administer Kubernetes and containerized environments and supporting orchestration platforms.
• Improve build, test, deployment, and release workflows for development teams.
• Integrate automated testing, security scanning, validation, and compliance controls into CI/CD pipelines.
• Implement monitoring, logging, alerting, and observability solutions for platform and application environments.
• Troubleshoot deployment failures, production issues, and platform incidents; perform root cause analysis.
• Develop automation scripts and tools using PowerShell, Python, Bash, or similar technologies.
• Implement Infrastructure as Code and automation practices to reduce manual effort and operational risk.
• Collaborate with Cloud, Infrastructure, Security, and Application teams to deliver scalable and resilient solutions.
• Maintain deployment standards, release procedures, technical documentation, and operational runbooks.
• Apply DevOps, DevSecOps, and SRE best practices to improve delivery speed and platform reliability.
• Evaluate emerging DevOps technologies and recommend improvements.
• Mentor team members on DevOps methodologies, automation, and platform engineering practices.
• Act as an escalation point for critical deployment, infrastructure, and platform issues.

Required Technical Skills :

1. DevOps & CI/CD :

• 7+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Software Engineering.
• Strong experience designing and supporting CI/CD pipelines and release management.
• Hands-on experience with Azure DevOps, GitHub, GitHub Actions, or equivalent platforms.
• Strong understanding of Git, branching strategies, release management, and deployment methodologies.

2. Containers & Cloud :

• Strong hands-on experience with Kubernetes and Docker/containerization.
• Understanding of cloud-native application architectures and distributed systems.
• Experience supporting production-grade containerized environments.

3. Automation & IaC :

• Strong proficiency in PowerShell, Python, Bash, or similar scripting languages.
• Experience developing automation frameworks and deployment tooling.
• Knowledge of Infrastructure as Code (IaC) concepts.
• Experience with Terraform, Bicep, or similar tools is preferred.

4. Monitoring & Reliability :

• Experience with monitoring, logging, observability, and alerting.
• Strong troubleshooting and root cause analysis skills.
• Experience supporting highly available and resilient production systems.
• Knowledge of SRE practices is preferred.

5. Security & DevSecOps :

• Understanding of DevSecOps and secure software delivery practices.
• Experience integrating vulnerability scanning, security controls, and compliance checks into CI/CD pipelines.
• Knowledge of IAM, secrets management, and access control within DevOps environments.

Preferred Qualifications :

• Hands-on experience with Microsoft Azure.
• Experience with Terraform/Bicep or other IaC tools.
• Knowledge of SRE and platform engineering practices.
• Relevant Azure, Kubernetes, Cloud, or DevOps certifications.

Responsibilities and JD

Job Description: We are looking for a Senior Developer with strong expertise in PySpark, Databricks, and Snowflake to build scalable data engineering solutions and enterprise data platforms.

Key Responsibilities:

1. Design, develop, and maintain ETL/ELT pipelines using PySpark, Databricks, and Snowflake.
2. Develop batch and real-time data processing solutions for structured and semi-structured data.
3. Build and optimize Databricks notebooks, workflows, and Delta Lake solutions.
4. Design and implement Snowflake databases, schemas, views, stored procedures, tasks, and streams.
5. Develop scalable data models, data marts, and data warehouse solutions.
6. Optimize PySpark jobs, Databricks workloads, and Snowflake queries for performance and cost efficiency.
7. Implement data quality, validation, governance, and security controls.
8. Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
9. Manage source control and CI/CD deployments using Git and Azure DevOps.
10. Troubleshoot production issues, perform root cause analysis, and ensure pipeline reliability.
11. Mentor junior team members and participate in code reviews and technical design discussions.

Required Skills: PySpark, Databricks, Snowflake, Python, SQL.

Experience: 5+ years of Data Engineering experience with strong hands-on expertise in PySpark, Databricks, and Snowflake.

E-Commerce Technical Lead

Type: Full-Time    Experience: 5+ years    Location: Onsite, Bangalore

ABOUT THE ROLE

Y-NOT Design & Mfg is a promotional products, sourcing, and custom manufacturing organization serving Fortune 1000 brands and enterprise clients. Through BrandifyME, our E-Commerce division is focused on building the next generation of digital commerce for customized and branded products at scale.

The BrandifyME team owns the company’s digital commerce ecosystem, including storefront experience, product merchandising, supplier integrations, customization workflows, corporate stores, pricing synchronization, checkout experience, and large-scale operational e-commerce workflows. The team works across both customer-facing experiences and backend operational processes to create a scalable and efficient commerce platform built for enterprise-level sourcing and fulfillment.

The E-Commerce division works closely with the Automation team across multiple initiatives. While BrandifyME focuses on the commerce experience, digital operations, and platform execution, the Automation division develops the internal systems, AI-assisted infrastructure, workflows, and operational tooling that power and enhance those processes behind the scenes. Together, both teams collaborate to improve scalability, efficiency, operational visibility, and the future technology infrastructure of the organization.

Here is our website: https://y-not.com/

IN YOUR FIRST 6 MONTHS YOU WILL

▪       Take full ownership of BrandifyME's eCommerce stack: storefront, Shopify integrations, Sample Tracker, project workspace, and eCommerce-side middleware.

▪       Complete a structured knowledge transfer with the outgoing engineer and establish your own architectural baseline across the codebase.

▪       Review and approve all eCommerce engineering work before deployment; establish code-review standards the team follows consistently.

▪       Implement or lead at least one significant integration: Shopify, supplier, ERP (Odoo), shipping provider, or middleware, end to end.

▪       Coach full-stack developers through a structured growth plan toward senior-level engineering practice.

▪       Own on-call rotation for eCommerce production incidents and establish clear runbooks for the most common failure modes.

▪       Collaborate closely with the Automation Lead and Technical Manager to ensure clean handoffs at the eCommerce/Automation boundary.

▪       Contribute to hiring and onboarding the broader team as BrandifyME scales through Wave 1.

YOU'LL BE A FIT IF

▪       Experience with PHP Laravel-based applications and backend systems

▪       Exposure to Shopify/eCommerce platforms and related integrations

▪       Understanding of APIs, web technologies, and scalable application workflows

▪       Familiarity with AWS/cloud-hosted environments and deployment workflows is a plus

▪       Experience working in Agile/SCRUM-based engineering environments

▪       You have production experience with Shopify Plus or an equivalent eCommerce platform, you have personally owned integrations end to end.

▪       You are fluent in the full stack we use: Vite / React / TypeScript on the frontend; Supabase / PostgreSQL / Deno edge functions on the backend.

▪       You have strong PostgreSQL discipline: RLS, migrations, query performance and have shipped systems with real production surface area.

▪       You have built and operated REST/GraphQL integrations with retry logic, idempotency patterns, and webhook reliability.

▪       You have a proven track record coaching mid-level engineers toward senior-level practice, not just directing senior peers.

▪       You have worked in a startup or entrepreneurial environment and are comfortable with ambiguity, fast iteration, and a codebase that has 100+ migrations.

BONUS POINTS

▪       Experience with Odoo ERP integrations or promotional-products supplier APIs (ASI, PromoStandards, ESP).

▪       Familiarity with Cloudflare Workers / edge-function patterns at production scale.

▪       Experience building or scaling a zero-inventory / drop-ship commerce model.

Technical Skills -

• 4–6 years of experience in Golang development, backend engineering, or automation testing. 
• Strong hands-on proficiency in Golang and backend development concepts. 
• Hands-on experience with Kubernetes and containerized environments. 
• Experience developing automation frameworks, unit tests, integration tests, and API validation tools using Go. 
• Strong understanding of distributed systems, system design, and cloud-native architecture. 
• Experience in validating backend services, REST/gRPC APIs, and Kubernetes-based platforms. 
• Familiarity with Docker, CI/CD pipelines, Jenkins, and GitHub Actions. 
• Knowledge of cloud-native observability tools such as Prometheus and Grafana. 
• Strong debugging, analytical, and problem-solving skills. 
• Ability to contribute to backend development, reliability improvements, and performance validation. 

Key Responsibilities -

• Develop automation frameworks, unit tests, integration tests, and validation tools using Golang. 
• Validate backend services, distributed systems, REST/gRPC APIs, and Kubernetes-based platforms. 
• Contribute to backend development, debugging, reliability improvements, and performance validation. 
• Work with cloud-native technologies such as Kubernetes, Docker, Prometheus, and Grafana. 
• Automate workflows and testing through CI/CD pipelines using Jenkins/GitHub Actions. 
• Collaborate with engineering teams to improve system quality, observability, and test coverage. 

Good to Have -

• Experience with infrastructure platforms or storage systems. 
• Exposure to AWS, Azure, or GCP. 
• Experience with performance, load, or resiliency testing. 
• Familiarity with Ginkgo, Gomega, or similar Go testing frameworks. 

Position Summary

We are seeking an experienced Senior Golang Developer with deep expertise in Kubernetes controllers and operators to join our Cloud & Infrastructure Engineering team. You will design, develop, and maintain robust Kubernetes-native applications and custom operators that power our clients' containerized infrastructure. You should have 4+ years of professional Golang experience with demonstrated proficiency building production-grade Kubernetes controllers and operators.

Key Responsibilities

Design and develop custom Kubernetes controllers and operators to extend platform functionality

Write clean, efficient, maintainable Golang code following industry best practices and design patterns

Implement and manage Custom Resource Definitions (CRDs) for Kubernetes platforms

Develop API clients and libraries for Kubernetes resource management

Collaborate with DevOps and Platform teams to integrate operators into production environments

Implement comprehensive unit and integration testing strategies for controller logic

Troubleshoot and debug complex issues in Kubernetes environments

Contribute to architectural decisions and technical documentation

Mentor junior developers and participate in code reviews

Required Qualifications

4+ years of professional experience developing applications in Golang

2+ years of hands-on experience building and maintaining Kubernetes controllers and/or operators (e.g., using Kubebuilder, Operator SDK, or controller-runtime)

Strong understanding of Kubernetes architecture, APIs, and resource management

Proficiency with Custom Resource Definitions (CRDs) and API conventions

Experience with containerization technologies (Docker, container registries)

Solid understanding of concurrent programming and goroutines

Experience with version control systems (Git) and CI/CD pipelines

Demonstrated ability to write unit tests and integration tests

IT Infrastructure Project Manager / Project Coordinator

Location: Bangalore / Hyderabad

Work Mode: Hybrid

Experience: 5+ Years

Job Summary

We are looking for an experienced IT Infrastructure Project Manager / Project Coordinator with strong experience in infrastructure project coordination, Cisco Routing & Switching, ATM site builds and decommissions, ISP vendor coordination, vendor management, and procurement activities.

Roles & Responsibilities

• Coordinate and manage IT infrastructure projects from planning through execution and closure.
• Coordinate Cisco Routing & Switching infrastructure activities and network deployment projects.
• Manage ATM site build, rollout, migration and decommissioning activities.
• Coordinate with ISP vendors for connectivity provisioning, installation, troubleshooting and service-related activities.
• Manage third-party vendors, including scheduling, deliverables, escalations and performance tracking.
• Handle vendor management and procurement activities, including quotations, purchase requests, purchase orders and delivery coordination.
• Track project schedules, milestones, dependencies, risks, issues and action items.
• Coordinate with Network, Infrastructure, Security, Application, Facilities and external vendor teams.
• Conduct project/status meetings and maintain project documentation and progress reports.
• Manage change, incident and escalation activities related to infrastructure projects.
• Ensure project activities are completed within agreed timelines and operational requirements.
• Support site readiness, hardware/network deployment and infrastructure commissioning activities.
• Maintain project trackers, reports and documentation for stakeholder visibility.

Required Skills

• 5+ years of experience in IT Infrastructure Project Management / Project Coordination.
• Strong understanding of IT infrastructure and network projects.
• Hands-on knowledge of Cisco Routing & Switching.
• Experience in ATM site builds and decommissioning.
• Strong experience coordinating with ISP vendors.
• Vendor management and procurement experience.
• Good understanding of project planning, scheduling, tracking and reporting.
• Experience in stakeholder coordination and vendor communication.
• Good knowledge of Incident, Change and Problem Management processes.
• Strong communication, coordination and negotiation skills.
• Ability to manage multiple infrastructure activities/projects simultaneously.

Preferred

• Experience working in banking / financial services or ATM infrastructure projects.
• Knowledge of ITIL processes and infrastructure operations.
• Experience with project management tools such as JIRA, ServiceNow, MS Project or Excel.

Job Description – Full Stack Developer (Software Developer II)

Company: Gemba Concepts

Location: Bangalore.

Position: Software Developer II (Full Stack)

Experience: 4–6 years

Reporting To: Team Lead

About Gemba Concepts

Gemba Concepts is an innovative IT solutions provider helping organizations transform digitally with scalable and reliable software solutions. We focus on delivering business value through cutting-edge technologies, quality engineering, and a strong culture of collaboration.

Role Overview

We are seeking a Full Stack Developer (Angular + Java) with 4–6 years of experience to join our dynamic development team. The role requires strong expertise in frontend development with Angular and backend development with Java/Spring Boot, along with good knowledge of modern software engineering practices.

Key Responsibilities

●     Design, develop, and maintain web applications using Angular (frontend) and Java/Spring Boot (backend).

●     Collaborate with Team Lead, QA, and DevOps to deliver high-quality software within timelines.

●     Experience working with RESTful services, authentication and state management.

●     Build responsive, scalable, and secure applications following best practices.

●     Write clean, efficient, and reusable code while adhering to coding standards.

●     Troubleshoot and debug issues across the application stack.

●     Work with DevOps team on application deployment and CI/CD pipelines.

●     Contribute to knowledge sharing, documentation, and process improvement.

Required Skills & Qualifications

●     Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

●     4–6 years of professional experience as a Full Stack Developer.

●     Strong expertise in Angular 12+ (TypeScript, RxJS, HTML5, CSS3, PrimeNG, JavaScript, IONIC,SCSS).

●     Solid experience in Java, Spring Boot, REST APIs, JPA/Hibernate.

●     Proficiency in relational databases (MySQL, PostgreSQL, or Oracle).

●     Good understanding of Microservices Architecture.

●     Experience with Git, CI/CD tools (Jenkins, GitLab CI, GitHub Actions, or Azure DevOps).

●     Strong problem-solving and debugging skills.

●     Excellent communication and teamwork abilities.

Good to Have

●     Exposure to cloud platforms (AWS, Azure, or GCP).

●     Familiarity with Docker and Kubernetes.

●     Knowledge of testing frameworks (JUnit, Jasmine/Karma).

●     Experience in Agile/Scrum development environments.

What We Offer

●     Opportunity to work on challenging and impactful projects.

●     Collaborative team culture with mentorship and career growth.

●     Competitive compensation and benefits.

●     Learning and upskilling opportunities in the latest technologies.

ABOUT

The Persona Labs is building a new kind of social platform focused on something most social products do not explicitly optimize for: helping people become real friends.

We want to help people discover interesting people around them, find meaningful common ground, start low-pressure interactions, continue promising conversations, create shared experiences, and ultimately build real-life friendships.

DISCOVER → CURIOSITY → COMPATIBILITY → INTERACTION → UNDERSTAND → IRL EXPERIENCE → FRIENDSHIP

THE AI LAYER

Alongside the platform, we are building a proactive personal companion that learns about the user and helps them navigate this journey through personalized recommendations, suggestions, reminders and experiences.

THE OPPORTUNITY

We are looking for a Founding Product Engineer to help build the platform from the ground up. This is a 0→1 product engineering role where you work directly with the founder and engineering team to turn ambiguous product problems into working software.

You will be expected to:

Understand the problem → explore solutions → make trade-offs → design → build → ship → measure → improve.

WHAT YOU WILL BUILD & OWN

MOBILE

Onboarding, profiles, discovery, interactions, messaging, activities, and companion experiences.

SOCIAL SYSTEMS

Relationships, social graph, compatibility, and interaction flows.

BACKEND

APIs, services, authentication, notifications, and background processes.

DATA

PostgreSQL models, user/activity data, analytics, and behavioural signals.

REAL-TIME

Messaging, live interactions, notifications, and event-driven workflows.

AI-ENABLED

Recommendations, personalization, and companion-powered experiences.

INFRASTRUCTURE

Cloud deployment, CI/CD, monitoring, reliability, and cost management.

WHAT YOUR DAY-TO-DAY LOOKS LIKE

• Build and ship mobile and full-stack product features end-to-end.

• Design APIs, database models, and backend services for a social product.

• Translate ambiguous product problems into simple, reliable technical solutions.

• Make architecture and engineering trade-offs for performance, scalability, security, and cost.

• Work closely with the founder, product/design team, and Companion Intelligence engineer.

• Prototype quickly, test assumptions, and iterate based on user behaviour and product feedback.

• Own features from problem → architecture → implementation → deployment → improvement.

• Help establish engineering practices around testing, monitoring, security, and reliability.

WHO SHOULD APPLY

• Experience: 0–4 years, including exceptional fresh graduates. Strong 1–3 year engineers and experienced 3–4 year product builders are welcome.

• Fundamentals: Strong CS/software engineering fundamentals.

• Evidence of Building: We value what you have built more than the number of years on your résumé. Shipped apps, strong side projects, hackathons, internships, open source, or startup work are highly valued.

• Mindset: High ownership, curiosity, strong fundamentals, clear communication, learning velocity, and the ability to work through ambiguity.

WHAT WE LOOK FOR

MOBILE CAPABILITY

Can you build and ship a polished mobile experience?

ENGINEERING DEPTH

Do you understand why a system works, not just how to make it run?

PRODUCT JUDGMENT

Can you determine what should be built when the problem is ambiguous?

ARCHITECTURE / SYSTEMS

Can you reason across APIs, databases, services, real-time systems, scale, and cost?

SPEED OF EXECUTION

Can you move from idea → prototype → production quickly without compromising fundamentals?

AI FAMILIARITY

Do you understand how modern AI can become a useful, reliable product capability?

BUILD WITH US

You will join at a stage where many answers do not exist yet. You will not simply implement someone else’s architecture, you will help decide what the architecture and product should become.

CAREERS:

Apply with your resume, GitHub, portfolio or shipped work.

https://forms.gle/12YpUSBY2Sqs5xjp8

www.thepersonalabs.com

About Company

We are building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.

About the Role

We are looking for a versatile, hands-on software engineer to join our growing team. You will work across embedded Linux systems, networking stacks, robotic middleware, and cloud-connected services. This role demands strong fundamentals, intellectual curiosity, and the ability to learn quickly — not just familiarity with buzzwords.

On-site, Bengaluru

Responsibilities

• Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
• Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS — for robot-to-cloud and inter-robot communication.
• Own CI/CD pipelines using ArgoCD, GitHub Actions, and containerized workflows to ship software to robots.
• Manage Docker-based deployment and runtime environments on robot and cloud infrastructure.
• Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
• Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
• Establish and enforce best practices around Git workflows, branching strategies, and code review.
• Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.

Requirements

All candidates must demonstrate solid, hands-on competency in every item listed below.

• Linux systems programming in C
• File I/O — read, write, seek, memory-mapped files
• Multi-threading — pthreads, mutexes, condition variables, thread safety
• Socket communication — TCP/UDP sockets, select/poll/epoll
• Basic data structures & algorithms — stack, heap, queue, linked list
• General comprehension ability — reading technical manuals, datasheets, and RFCs
• Python scripting
• Bash scripting
• Git — CLI usage, branching, merging, rebasing, conflict resolution
• Standard UML diagrams — flowchart, sequence diagram, deployment diagram
• Windowless text editor — vim, nano, or equivalent

Strong Advantage

• C++ programming — C++17, OOP, templates, STL
• Common network protocols — DHCP, ARP, TCP, UDP, DNS
• Network configuration — routers, switches, VLANs, subnetting
• Server-client application architecture
• P2P vs. centralised communication — DDS vs. MQTT
• Database management — SQL vs. NoSQL, schema design
• Network security — checksums (CRC, MD5, SHA), public-key encryption, digital signatures
• ROS2 framework — pub/sub, services, actions, lifecycle nodes, DDS transport
• CMake build system — targets, find_package, CTest integration
• Docker — Dockerfiles, docker-compose, remote image registries

Must-haves (non-negotiable)

• Strong Linux systems programming in C — multi-threading (pthreads), socket communication (TCP/UDP, epoll), and file I/O
• Hands-on experience with CI/CD pipelines (ArgoCD, GitHub Actions) and Docker-based deployments
• Networking expertise — TCP/IP stack, DHCP, DNS, iptables, inter-device communication
• Proficiency in Python and Bash scripting for fleet management and diagnostics
• ROS2 experience (pub/sub, DDS, lifecycle nodes) is a strong advantage

GEMBA CONCEPTS · TECHNOLOGY DIVISION

 · JOB DESCRIPTION

Technical Delivery Manager – Services LOCATION Bengaluru (Hybrid) ABOUT GEMBA CONCEPTS EXPERIENCE 5–8 years REPORTS TO Chief Technology Officer TYPE Full-time Gemba Concepts helps manufacturers and enterprises improve how their operations run. Our technology division builds and runs Gemba Connect, a suite of enterprise SaaS products spanning warehouse management, logistics, ERP, and applied AI/ML, deployed across 30+ active client accounts in manufacturing, pharma, FMCG and retail.

ABOUT THE ROLE

We're looking for a technical leader to own Gemba's services business end to end: delivery, people, commercials and reporting. You'll run every client implementation and custom development engagement, build and manage the team that delivers them, and be the single point of accountability to clients and leadership for how services perform. You've written production Java code, can read a Spring Boot service and a SQL execution plan, and have since hired, reviewed and led delivery teams. The product roadmap stays with product leadership; everything we deliver to clients runs through you.

WHAT YOU'LL OWN Services business ownership

• Own the health of the services portfolio: delivery, client satisfaction, billing milestones and account growth.

• Run post-sale SOW execution. Ensure milestones are hit and billed on time, and follow up with finance and clients on receivables.

• Grow accounts by converting change requests and enhancements into scoped, priced, billable work.

• Track effort, utilisation and margin by account; act when an engagement turns unprofitable. Delivery

• Run multiple concurrent client implementations, owning scope, timeline, cost and quality.

• Plan and run sprints with Tech Leads: grooming, estimation, capacity planning, reviews and retros.

• Own go-lives (UAT, cutover, data migration, hypercare) and post-go-live support SLAs.

• Maintain RAID logs and delivery dashboards; flag risk early, with a proposed fix. Requirements and change control

• Be the single intake point between consulting teams, clients and engineering; convert requirements into user stories with testable acceptance criteria.

• Baseline scope and run a formal change-request process. Every change is priced in effort, cost and date before it's accepted.

• Make sure what's agreed is documented before it's built. People and hiring • Plan services headcount against the delivery pipeline and run hiring end to end (role definition, interviews, closing) at a high bar.

• Run goal-setting, regular 1:1s and performance reviews for the services team; give input on promotions, compensation and performance plans.

• Grow Tech Leads and senior engineers into people who can own accounts independently.

• Own team retention and morale. Know who's at risk before they resign. Gemba Concepts · Technology Division Page 1GEMBA CONCEPTS · TECHNICAL DELIVERY MANAGER – SERVICES Reporting

• Publish monthly services MIS to leadership: revenue billed, collections, on-time delivery, SLA adherence, utilisation, hiring and attrition.

• Contribute the services section to quarterly board reporting.

• Run monthly or quarterly business reviews with key client stakeholders. Technical oversight

• Work with Tech Leads on design reviews, integrations (ERP, WMS, third-party systems) and non-functional requirements.

• Lead incident triage and root-cause reviews on client escalations; track corrective actions to closure.

• Coordinate with DevOps on environments, CI/CD and release windows.

• Uphold security and compliance controls (e.g., SOC 2) across delivery. Improving how we deliver

• Drive adoption of AI-assisted development and testing tools, and measure whether they actually raise throughput per engineer.

• Tighten estimation accuracy, definition of done and release discipline across the services team. MUST-HAVES

• 5–8 years in software, including 2+ years as a hands-on Java developer and 2+ years in delivery or project management.

• 1+ year leading a team of 5+ directly, including hiring and performance reviews.

• Strong working knowledge of Java and Spring Boot. You can review a PR, understand how a service is structured, and challenge an estimate.

• Solid SQL: schema design, writing and debugging queries, and understanding of indexing, transactions and production issues such as slow queries and connection pool exhaustion (SQL Server/Azure SQL, PostgreSQL or MySQL).

• Hands-on exposure to cloud platforms (Azure preferred, AWS/GCP acceptable).

• Working experience with the commercial side of client engagements: SOWs, milestone billing and change orders. Margin tracking is a plus.

• Track record of delivering enterprise B2B software to external clients across multiple parallel engagements.

• Proficiency with Jira or Azure DevOps, Confluence and Git-based workflows.

• Clear communication. You can present to a client CXO, write a board-ready MIS, and give an engineer hard feedback. GOOD TO HAVE

• Domain experience in manufacturing, supply chain, warehousing, logistics or ERP.

• Background in an IT services firm or the services arm of a product company.

• Familiarity with microservices, REST API design and message queues.

• Experience delivering AI/ML features.

• Exposure to SOC 2 or ISO 27001 audits.

• Certifications (PMP, CSM, PMI-ACP) are welcome but won't substitute for a delivery and team-building track record. WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 6 MONTHS

• 85%+ of implementations go live on the committed date.

• Billing milestones are invoiced on time, and receivables ageing is visibly down. • Every active account has baselined scope, a live RAID log and a change log.

• Services hiring is on plan, with near-zero regretted attrition.

• Leadership gets a monthly services MIS without having to chase it. WHO YOU'LL WORK WITH The services delivery team (engineers, Tech Leads, BAs, QA), product squads, DevOps, consulting teams, finance and client stakeholders.

WHY JOIN Own a real business line with direct access to leadership. Build the team and operating model your way. Work on enterprise products in active growth, including applied AI.

Title                                 : Senior AI Platform / MLOps Engineer

Experience                    : 6+ years

Work type                      : Chennai - Work from Office/other locations - Remote

Employment Type      : Full Time

Notice Period              : Immediate

Work Day                     :Mon to Fri

Key Responsibilities:

• Install, configure and operate OpenShift, NVIDIA GPU operator, OpenShift AI, and NIM microservices on 12× RTX PRO 6000 across two servers; single-node and HA control-plane topologies
• Serving configuration and tuning: quantized model deployment (FP8/FP4), replica balancing, batching, KV-cache and context management
• Azure GPU build environments: provisioning, cost control, parity with the on-prem stack via pinned container/model versions; cloud-to-factory migration with parity regression
• GitOps CI/CD, container registry, artifact/model versioning, environment promotion; observability and audit wiring (Splunk, Prometheus/Grafana)
• Benchmark automation: load harness, p50/p95/p99 latency, tokens/sec, GPU utilization; the capacity report data pipeline
• Platform upgrade procedure with evaluation-regression gates; deployment runbook as a first-class deliverable

Technical Skills:

• 6+ years infrastructure/platform engineering with 3+ years production Kubernetes; OpenShift experience strongly preferred
• Hands-on GPU inference serving in production: NIM, Triton, vLLM, or TensorRT-LLM — you have sized, deployed, and tuned LLM serving on real GPUs and can talk memory-bandwidth trade-offs
• GitOps fluency (ArgoCD/Flux), infrastructure-as-code, container internals; comfortable in air-gapped/proxy-restricted enterprise networks
• Observability depth: metrics, traces, log pipelines; has built performance test harnesses, not just run them

• Azure or AWS GPU compute operations experience

Strongly preferred

• NVIDIA GPU operator and AI Enterprise stack specifics; KServe; Milvus or pgvector operations; VAST/NFS/S3 storage integration; banking or other regulated-environment delivery

About Ampera: 

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards 

Role: Full Stack Engineer

Location: Hyderabad/Mumbai/Bangalore/Gurgaon

Required Experience: 4-7 years

Role Summary:

We are looking for Software Engineers with deep experience in building highly scalable and reliable enterprise applications. We are looking for engineers who have experience building cloud based/cloud native solutions from scratch. This includes demonstrable expertise in an enterprise friendly backend framework. We expect the engineer to work in a team consisting of Project Managers, Designers, Data Scientists and Software Architects. This is an exciting opportunity to work in a fast paced and innovative environment along with a group of world class and entrepreneurial professionals.

Responsibilities:

• Design and develop user-friendly web interfaces using HTML, CSS, and JavaScript.

• Utilize modern frontend frameworks and libraries such as React, Angular, or Vue.js to build dynamic and responsive web applications.

• Develop and maintain server-side logic using programming languages such as Java, Python, Ruby, Node.js, or PHP.

• Build and manage APIs for seamless communication between the frontend and backend systems.

• Integrate third-party services and APIs to enhance application functionality.

• Implement CI/CD pipelines to automate testing, integration, and deployment processes.

• Monitor and optimize the performance of web applications to ensure a high-quality user experience.

• Stay up-to-date with emerging technologies and industry trends to continuously improve development processes and application performance.

Qualifications:

• Bachelors/Masters in Computer Science or related subjects or hands-on experience demonstrating working understanding of software applications.

• Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications.

• Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI.

 • Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD)

• Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage.

• Hands-on experience in building enterprise applications adhering to their needs of security and reliability.

• Hands-on experience building applications using one of the major cloud providers, preferably GCP.

• Working knowledge of CI/CD tools for application integration and deployment.

• Working knowledge of using reliability tools to monitor the performance of the application.

 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 

What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of professional experience to join our team. In this role, you will design, implement, and optimize cloud infrastructure and CI/CD processes.

You will collaborate closely with development, QA, and operations teams to deliver scalable, secure, automated, and reliable solutions on AWS.

The ideal candidate will have strong hands-on experience with AWS, Terraform, Git/GitHub, Jenkins, PowerShell, Python, AWS Systems Manager (SSM) Documents, and Active Directory (AD) administration, along with a passion for automation, efficiency, and operational excellence.

Key Responsibilities

• Design, build, and maintain scalable cloud infrastructure on AWS.
• Develop and manage Infrastructure as Code (IaC) using Terraform.
• Build, maintain, and optimize CI/CD pipelines using Jenkins and GitHub.
• Use AWS Systems Manager (SSM) to support operational automation and system administration.
• Automate system tasks and administrative workflows using PowerShell and other scripting languages.
• Create, maintain, and execute custom SSM Documents for configuration management, patching, automation, and troubleshooting.
• Manage and administer Active Directory (AD), including users, groups, permissions, policies, authentication, and integration with AWS services.
• Implement and manage version-control workflows in Git and GitHub.
• Ensure infrastructure and deployment processes follow best practices for security, reliability, scalability, and cost optimization.
• Monitor and troubleshoot production systems to ensure high availability, performance, and reliability.
• Collaborate with development teams to improve software delivery processes and release management.
• Mentor junior engineers and contribute to the development of DevOps standards and best practices.

Required Skills and Experience

• 8+ years of professional experience, including at least 4 years in DevOps or Site Reliability Engineering (SRE) roles.
• Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
• Proven expertise in Terraform for Infrastructure as Code.
• Experience administering both Linux and Windows operating systems.
• Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
• Proficiency with Git workflows and source-code management best practices.
• Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
• Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
• Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
• Solid understanding of cloud networking, security, monitoring, and troubleshooting.
• Excellent problem-solving, communication, collaboration, and decision-making skills.

Nice-to-Have Skills

• Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
• Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
• An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.

Who You Are

• You are eager to learn new technologies and continuously improve your skills.
• You make sound decisions and take ownership of your work.
• You are proactive, self-motivated, and comfortable taking initiative.
• You are a strong communicator who enjoys collaborating with cross-functional teams.
• You are committed to improving processes, automation, reliability, and operational efficiency.