50+ Microsoft Windows Azure Jobs in India

What you'll do

Own a client end to end. Learn their business, find what to automate or rebuild, and lead the work that ships it.

Turn business problems into technical solutions sit in the call, understand the real problem, design the fix, and decide how it gets built.

Stay hands-on. You'll still write code, build integrations, and work with APIs every day.

Build on whatever the client runs Zoho, Salesforce, Azure, similar platforms, and custom apps where needed.

Run delivery: scope it, sequence it, ship it, support it. The timeline is yours.

Review code and designs. Mentor the developers on your projects and unblock them fast.

Be the escalation point when something breaks or an integration misbehaves.

Own client communication on the technical side status, tradeoffs, bad news, early.

Keep the bar high: clear docs, clear updates, clear commit history.

What we're looking for

4–7 years shipping software, with real depth in REST APIs and system integrations.

Experience leading projects or small teams — the person others check with before they build.

Strong with business platforms (Zoho, Salesforce, or similar). Much of the leverage lives there, not in custom code.

You can sit with a non-technical client, understand the problem, and come back with a working solution.

Still enjoy building. This is technical leadership, not coordination.

Self-driven. You'll often be the senior-most engineer on the account.

Why you'll love this role

Full ownership from first call to delivery — you run projects, not a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

A step into technical leadership without giving up the hands-on work.

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

Employment Type: Full-time, Contractual

Contract Duration: 3–6 Months

Job Summary

We are looking for a skilled .NET Developer with strong experience in C#, ASP.NET Core,

Web APIs, and modern application development practices. The ideal candidate should have a

solid understanding of .NET fundamentals, dependency injection, middleware, action filters,

model binding, and application architecture.

Key Responsibilities

 Design, develop, and maintain scalable applications using .NET and ASP.NET Core.

 Develop and consume RESTful APIs and microservices.

 Implement Dependency Injection and follow SOLID principles.

 Develop and configure Middleware components for request processing.

 Implement and customize Action Filters for authorization, validation, logging, and

exception handling.

 Work with Model Binding, Validation, and API request/response handling.

 Optimize application performance and troubleshoot production issues.

 Collaborate with cross-functional teams in Agile environments.

 Participate in code reviews and follow coding best practices.

Mandatory Technical Skills

.NET & C#

 Strong knowledge of C# and .NET Framework/.NET Core.

 Good understanding of OOPs concepts and design patterns.

 Hands-on experience with Extension Methods.

 Understanding of Delegates, Events, Lambda Expressions, LINQ, and Async

Programming.

 Knowledge of IDisposable interface and Using Statement.

ASP.NET Core

 ASP.NET Core MVC

 ASP.NET Core Web API

 Dependency Injection (Singleton, Scoped, Transient lifetimes)

 Middleware Pipeline

 Action Filters

 Model Binding

 Authentication & Authorization

 Exception Handling and Logging

Database

 SQL Server

 Stored Procedures

 Query Optimization

 Entity Framework Core

Additional Skills

 REST APIs

 Git

 Azure DevOps / CI-CD

 Unit Testing

Preferred Skills

 Microservices Architecture

 Docker & Kubernetes

 Azure Cloud Services

 Messaging Services (RabbitMQ, Service Bus)

 Clean Architecture / Domain Driven Design

Interview Focus Areas

Candidates should be able to explain and demonstrate:

 Dependency Injection and service lifetimes (Singleton, Scoped, Transient)

 Middleware vs Action Filters

 Model Binding in ASP.NET Core

 Extension Methods

 IDisposable and Using Statement

 ASP.NET Core Request Pipeline

 REST API Design Principles

Job Description:

Job title : Cloud Architect

Experience: 10+ years

Location: Chennai / Pune / Hyderabad / Bangalore

Shift: UK Shift

Work Mode: Onsite(WFO)

Notice Period: Immediate Joiner/ serving notice period only

Project Scope:

This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.    

Roles and Responsibilities:

Define Azure automation architecture, governance, and reusable cloud build patterns.            

Own Azure architecture for automated build provisioning using the ServiceNow-led control plane.

Define approved build patterns, SKUs, landing-zone integration, Terraform standards, Azure DevOps architecture, and guardrails.

Translate security, compliance, resiliency, tagging, cost, and data-residency requirements into automated controls.

Design ServiceNow, rules engine, Azure DevOps, Terraform, Azure Policy, CMDB, and callback integrations.

Review solution designs and assure quality with cloud, security, finance, and platform teams.

Required Skills:

Azure landing zones, networking, RBAC, Key Vault, Azure Policy, Terraform, Azure DevOps, FinOps, ServiceNow APIs.          

10+ years in infrastructure/cloud engineering; 5+ years designing Azure solutions.

Bachelor’s degree or equivalent experience; Azure Solutions Architect certification preferred.

Technical Lead – Embedded Software Application Projects

link: https://www.ziliconcloud.com/careers

ZILICONCLOUD PRIVATE LIMITED is looking for an experienced Technical Lead with 5–8 years of industry experience in Embedded Systems, IoT, AI, Cloud, and Software Engineering.

The candidate will lead Embedded, IoT, Edge AI, and Cloud projects, define system architecture, convert requirements into technical tasks, and ensure successful project execution and delivery.

Key Responsibilities

• Design modular system architectures for Embedded, IoT, Edge AI, Cloud, REST APIs, and dashboards.
• Convert requirements into clear tasks, milestones, and deliverables.
• Track project progress, manage technical risks, and ensure on-time delivery.
• Guide engineers on coding standards, Git, testing, debugging, and documentation.
• Troubleshoot issues across hardware, firmware, IoT, cloud, backend, and UI.
• Support system integration, testing, debugging, and performance improvement.
• Review technical designs, code, and test results.
• Lead prototype development, integration, technical reviews, and demonstrations.
• Mentor young engineers and explain complex technical concepts in a simple and practical way.
• 
  

Required Skills

C/C++, Python, JavaScript/TypeScript, Linux, FreeRTOS, Microcontrollers, REST APIs, MQTT, Git, Embedded Software, IoT, and system debugging.

Preferred: AWS IoT, Microsoft Azure, ThingsBoard, OpenCV, TensorFlow Lite (TFLite), React, Flutter, or FastAPI.

Education

B.E./B.Tech/M.E./M.Tech in ECE, CSE, Embedded Systems, Mechatronics, or a related field.

📍 Location: East Tambaram, Chennai, Tamil Nadu

💼 Experience: 5–8 Years

🕒 Employment Type: Full-Time

Job Summary

We are seeking an experienced Integration Support Engineer with 2+ years of experience in enterprise integration and production support. This role will act as the complete owner of the customer support board — managing, triaging, and resolving support tickets end to end while coordinating with engineering, product, and implementation teams. The ideal candidate has strong hands-on experience with Boomi or another iPaaS platform, deep working knowledge of databases and REST APIs, and a track record of rigorous testing and validation. Experience with Intapp Integration Builder is a plus.

Work Hours: 6:00 PM – 5:00 AM, with flexible breaks during the shift.

Key Responsibilities

• Own the customer support board end to end — triaging incoming tickets, managing priority and status, and driving each issue through to resolution.

• Serve as the frontline point of contact for customers on integration issues, providing clear, timely communication throughout the life of a ticket.

• Debug and troubleshoot integrations built on Boomi or other iPaaS platforms, performing root-cause analysis and resolving incidents within SLAs.

• Write, optimize, and troubleshoot SQL queries against production and staging databases for data validation, reconciliation, and issue investigation.

• Work extensively with REST/SOAP APIs, FTP/SFTP, and data formats such as JSON and XML to diagnose and resolve integration failures.

• Test and validate reported issues, including reproducing defects, verifying fixes, and confirming resolution before closing tickets.

• Participate in integration design and enhancement work, contributing to the build and improvement of existing integration processes.

• Take up new development and change requests, following SDLC practices — design, build, test, and deploy — to release changes safely to production.

• Work across internal teams — engineering, product, and implementation — to triage incoming issues, determine ownership, and coordinate resolution.

• Collaborate closely with engineering, product, and implementation teams to resolve both technical issues (database, integration, and server-side) and business/process issues.

• Stay flexible and continuously build cross-functional knowledge, since resolving tickets often requires learning new systems and business workflows on the fly.

• Maintain technical documentation, support guides, and troubleshooting procedures.

Qualifications:

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

• 2+ years of experience in integration engineering, integration support, or a similar role.

• Hands-on experience with Boomi or another iPaaS platform.

• Strong, demonstrable skills in SQL and database troubleshooting — this role requires day-to-day, hands-on database work.

• Strong REST/SOAP API knowledge, including testing, debugging, and validating API-based integrations.

• Solid experience with structured testing and validation practices for integration issues.

• Good understanding of integration patterns, cloud technologies, and production support.

• Strong analytical, communication, and stakeholder-management skills.

• Ability to work flexibly across engineering, product, and implementation stakeholders, and to quickly learn new systems and domains.

• Willingness and ability to work the required shift: 6:00 PM – 5:00 AM.

Preferred Skills

• Boomi or relevant iPaaS certification.

• Experience with Intapp Integration Builder.

• Knowledge of Azure Functions, Logic Apps, and other Azure services.

• Experience with monitoring, logging, and integration observability.

What We Offer

Competitive salary and benefits, work-from-home flexibility, a dynamic work environment, and opportunities for professional growth while working on enterprise-grade integrations.

We're hiring a Tech Lead Azure Data Engineer on Microsoft Fabric, based in Bangalore and Mangalore.

Immediate joiners preferred.

Required Skills:

• 8+ years of data engineering experience.

• 5+ years of experience with Microsoft Azure Data Platform technologies.

• 3+ years of hands-on experience with Microsoft Fabric.

• Experience integrating Dynamics 365 and Salesforce environments.

• Experience working with large-scale enterprise datasets (>100M records preferred).

• Design and implement scalable data platforms using Microsoft Fabric.

• Develop and maintain Data Factory pipelines, Dataflows Gen2, Notebooks, and Lakehouse solutions.

• Create and optimize Medallion Architecture (Bronze, Silver, Gold) data models.

• Develop and manage Real-Time Analytics and Event Streaming solutions.

• Implement data governance, security, monitoring, and performance optimization within Fabric.

• Support Customer Insights implementation and customer profile analytics.

• Design and implement Salesforce Sales Cloud and Data Cloud integrations with Microsoft Fabric.

• Develop scalable ingestion frameworks for Salesforce objects and metadata.

• Create unified customer profiles by consolidating Salesforce, Dynamics 365, and external data sources.

• Develop AI-enabled data solutions using Microsoft Fabric AI capabilities, Copilot, Azure OpenAI, and Microsoft AI Services.

• Build AI-driven customer insights, predictive analytics, propensity models, and recommendations.

ElaraRise Technologies is hiring a Senior Backend / Cloud Engineer.

You'd be the first backend hire on a founding team of five, building a transaction-anchored POS and Vision AI platform for retail and food-service operators in India and East Africa.

What you'd own: the POS backend, the transaction cache, real-time updates over SignalR, and the one-way ERP export interface. Offline-first by design — sites lose connectivity regularly, and the system has to keep selling and reconcile cleanly when the line returns.

We're looking for:

✅ 5+ years hands-on .NET — real depth, no shortcuts

✅ 2+ multi-tenant SaaS projects delivered end to end

✅ Azure (IoT / cloud) experience

✅ SaaS architecture mindset

Stack: .NET 10 · C# · Blazor · Azure · ABP Commercial

ABP experience isn't required. We provide the licence, paid support and ramp-up time — we hire for fundamentals.

📍 Nellore, Andhra Pradesh

📅 Start: October 2026

Senior pay for senior skill.

#DotNet #Azure #BackendEngineer #SaaS #Nellore #AndhraPradesh

Job Title: Automation Engineer – Watermelon Tool 

Experience: 6–7 Years

Location: Bangalore

Work Mode: Hybrid

Notice Period: Immediate Joiners (Apply only if you can join within 15 Days)

Key Responsibilities:

Design, develop, and maintain automated test scripts using the Watermelon automation tool.

Build and enhance automation frameworks for web, API, and enterprise applications.

Analyze business and functional requirements to identify automation opportunities.

Execute automated regression, smoke, sanity, and functional test suites.

Maintain reusable automation components and improve test coverage.

Integrate automation scripts with CI/CD pipelines.

Perform root cause analysis for failed test cases and provide detailed defect reports.

Work closely with developers, business analysts, and QA teams to resolve issues.

Ensure automation standards, coding best practices, and documentation are followed.

Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.

Required Skills:

5–10 years of experience in Automation Testing.

Strong hands-on experience with the Watermelon automation tool (mandatory).

Experience in test automation framework development and maintenance.

Knowledge of API testing and automation.

Experience with SQL for database validation.

Familiarity with Git or other version control systems.

Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitLab CI.

Strong understanding of SDLC, STLC, and Agile methodologies.

Excellent debugging, analytical, and problem-solving skills.

Good verbal and written communication skills.

Preferred Skills:

Experience with Selenium, Playwright, Cypress, or similar automation tools.

Knowledge of Java, Python, or JavaScript for automation scripting.

Exposure to cloud platforms such as AWS, Azure, or GCP.

Experience working in enterprise-scale automation projects.

ISTQB or equivalent testing certification is an added advantage.

Roles & Responsibilities:

Develop scalable and maintainable automation solutions.

Improve automation coverage and reduce manual testing effort.

Collaborate with stakeholders to deliver quality software releases.

Identify automation improvements and implement best practices.

Support production validation and release testing activities.

Mandatory Skills:

Watermelon Automation Tool

Test Automation

Automation Framework Development

API Testing

SQL

Git

CI/CD

Agile Methodology

Job Title : MLOps Engineer

Mode: Hybrid

Experience : 4 to 7 Years

Location : Hyderabad (Priority)/Bengaluru locations only

Notice Period : Immediate Joiner

Job Summary:

We are looking for a skilled and proactive ML Engineer with strong expertise in Python, Databricks, and Machine Learning model development. The ideal candidate should be proficient in building scalable data pipelines and deploying ML models, with a working knowledge of MLOps principles and tooling. This role offers an opportunity to work on impactful AI/ML initiatives in a collaborative environment.

Key Responsibilities:

• Develop and maintain machine learning pipelines for training, testing, and deploying models

• Design and implement infrastructure for managing and monitoring machine learning models

• Work with data scientists to build scalable, efficient, and automated model training and testing processes

• Collaborate with software engineers to integrate machine learning models into production systems

• Automate and optimize the deployment and scaling of machine learning models in a distributed computing environment

• Monitor and troubleshoot machine learning systems and infrastructure to ensure high availability and performance

• Develop and maintain documentation and best practices for MLOps processes and procedures.

Experience:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

• 3+ years of experience in MLOps or related field, including building and deploying machine learning models at scale

•Proficiency in programming languages such as Python, Java, and C++

•Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras

• Experience with containerization technologies such as Docker and Kubernetes

• Strong understanding of DevOps principles and practices

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud

Experience: 3-5 years

Wissen Technology is now hiring for a Java Developer (with Azure) - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 3-5 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

WowPe is a leading fintech company revolutionizing the way businesses handle financial transactions. Our suite of innovative products includes a secure Payment Gateway for seamless online transactions, robust Payouts solutions to streamline bulk payments, and a versatile Point of Sale (POS) system for efficient in-store transactions. At WowPe, we’re dedicated to providing user-friendly, scalable, and reliable solutions that empower businesses to grow and succeed in today’s fast-paced digital economy.

We are looking for a highly skilled Cloud Infrastructure & Cloud Network Engineer to design, build, and manage secure, scalable hybrid cloud environments at WowPe. This role will focus on cloud networking, hybrid connectivity, infrastructure automation, security, reliability, and performance across on-prem and cloud platforms (AWS/Azure). You will play a critical role in ensuring high availability, security, and performance of our fintech platforms.

A Day in the Life

• Design and review cloud network architectures (VPC/VNet, routing, segmentation)
• Troubleshoot latency, connectivity, VPN, and performance issues
• Work with DevOps and application teams to support deployments and scalability
• Automate infrastructure provisioning and security guardrails
• Monitor network health, traffic flow, and system performance
• Ensure security, compliance, and disaster recovery readiness
• Support hybrid connectivity between on-prem data centers and cloud environments.

Key Responsibilities

Cloud Networking & Hybrid Architecture

• Design and implement VPC/VNet architectures, subnetting, routing tables, NAT, gateways, and secure segmentation
• Build and manage hybrid connectivity between on-prem data centers and cloud using Site-to-Site VPN, ExpressRoute, Direct Connect
• Configure and manage Layer 4 & Layer 7 load balancers for high availability and traffic distribution
• Architect DNS, CDN, and edge networking strategies for low-latency global access

Security & Zero-Trust

• Implement Zero-Trust networking using security groups, NACLs, identity-aware proxies, mTLS
• Design secure access controls and network isolation
• Work closely with security teams to ensure PCI, ISO, SOC compliance readiness

Automation, Platform & Reliability

• Automate infrastructure provisioning using Infrastructure as Code (Terraform/ARM/CloudFormation)
• Build self-healing, auto-scaling architectures with health checks and fault tolerance
• Support and manage Kubernetes clusters (EKS/AKS) including networking and service communication
• Integrate infra with CI/CD pipelines for safe and frequent deployments

Operations & Observability

• Perform advanced troubleshooting for latency, packet loss, MTU, routing loops
• Implement and manage monitoring, logging, and observability (Prometheus, Grafana, ELK, Azure Monitor, CloudWatch)
• Design and maintain disaster recovery architectures, multi-region networking, and replication strategies
• Ensure high availability, performance optimization, and cost efficiency

Basic Qualifications & Skills

• 4+ years of experience in Cloud Infrastructure & Cloud Networking
• Strong hands-on experience with AWS and/or Azure
• Deep understanding of VPC/VNet, routing, NAT, gateways, load balancers, DNS
• Experience with Hybrid connectivity (VPN, ExpressRoute, Direct Connect)
• Solid knowledge of network security, firewalls, access control, segmentation
• Hands-on experience with Infrastructure as Code (Terraform preferred)
• Experience in monitoring, troubleshooting, and incident handling
• Strong understanding of high availability, DR, and performance optimization

Preferred Qualifications

• Experience in fintech, BFSI, or high-compliance environments
• Exposure to Zero-Trust architecture and security best practices
• Experience with Kubernetes (EKS/AKS), service mesh, microservices networking
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of CDN, edge networking, and global traffic management
• Experience with compliance frameworks (PCI-DSS, ISO 27001, SOC2)
• Ability to design large-scale, resilient, production-grade architectures

Immediate joiner only

Create and optimize Medallion Architecture (Bronze, Silver, Gold) data models.

Required Skills:

• 8+ years of data engineering experience.

• 5+ years of experience with Microsoft Azure Data Platform technologies.

• 3+ years of hands-on experience with Microsoft Fabric.

• Experience integrating Dynamics 365 and Salesforce environments.

• Experience working with large-scale enterprise datasets (>100M records preferred).

• Design and implement scalable data platforms using Microsoft Fabric.

• Develop and maintain Data Factory pipelines, Dataflows Gen2, Notebooks, and Lakehouse solutions.

• Create and optimize Medallion Architecture (Bronze, Silver, Gold) data models.

• Develop and manage Real-Time Analytics and Event Streaming solutions.

• Implement data governance, security, monitoring, and performance optimization within Fabric.

• Support Customer Insights implementation and customer profile analytics.

• Design and implement Salesforce Sales Cloud and Data Cloud integrations with Microsoft Fabric.

• Develop scalable ingestion frameworks for Salesforce objects and metadata.

• Create unified customer profiles by consolidating Salesforce, Dynamics 365, and external data sources.

• Develop AI-enabled data solutions using Microsoft Fabric AI capabilities, Copilot, Azure OpenAI, and Microsoft AI Services.

• Build AI-driven customer insights, predictive analytics, propensity models, and recommendations.

Hiring Alert – Java Full Stack with Python | Noida | FTE with Client

We are hiring for the below opportunity:

Role: Java Full Stack Developer with Python

Employment Type: Full-Time (FTE) with Client

Location: Noida

CTC: ₹30–35 LPA + 10% Variable (Maximum budget; non-negotiable)

Notice Period: Immediate joiners or candidates with up to 30 days' notice only

Mandatory Skills

• Strong experience in Java
• Full Stack development experience
• Good hands-on experience with Python
• Relevant experience in modern backend and frontend technologies

Selection Process

1. Online Assessment Test (mandatory)
2. Candidates who clear the assessment will be invited for an In-Person/Face-to-Face Interview.

Interview Date: Saturday, 8th August

Interview Location: Noida (Candidates must be available to attend in person.)

Important Notes

• Candidates must be willing to take the assessment before the interview.
• Salary expectations should be within the mentioned budget (₹30–35 LPA + 10% Variable, non-negotiable).
• Only immediate joiners or candidates serving a notice period of 30 days or less will be considered.

Please share suitable profiles after confirming:

• Current CTC
• Expected CTC (within budget)
• Notice Period
• Willingness to take the assessment
• Availability for the Face-to-Face interview in Noida on Saturday, 8th August

Microsoft Technical Consultant 

Company Name

Savex Technologies Pvt. Ltd.

Mode of Working

Work Form Office

Days of Working

6 days a week(1st and 2nd Saturday is off; remaining Saturdays are Half day working)

Responsibilities

Objective:

• Skilled Technical Consultant with expertise in presales, delivery, and support of Microsoft solutions such as Intune, Azure, and related technologies.
• This role involves assisting with solution design, deployment, migration, and post-implementation support while working closely with customers and internal teams.

Presales

✓ Collaborate with the sales team to understand customer requirements and design tailored technical solutions for Microsoft products like M365, Intune, Azure as well as other products like Okta, Zoho, Kaspersky, and Freshworks

✓ Prepare and deliver technical presentations, demonstrations, and proof-of-concept sessions for M365, O365, Azure,Okta,Zoho,Kaspersky and Freshworks

✓ Assist in creating technical proposals, scope documents, and cost estimations for Microsoft and associated third-party products.

✓ Act as a technical advisor to clients, addressing concerns and questions during the presales phase.

 Delivery

✓ Manage and execute the deployment of M365, O365, , Azure solutions,Okta,Zoho,Kaspersky and Freshworks including tenant\Product setup, configuration, and optimization.

✓ Plan and perform migrations such as O365 to O365 or Azure migrations with minimal downtime.

✓ Customize and integrate Microsoft tools to align with business requirements.

✓ Coordinate with cross-functional teams to ensure timely and successful project delivery.

Support

✓ Provide Level 2 support for Microsoft solutions as well as for Okta,Zoho,Kaspersky and Freshworks, resolving escalated issues for those products and other integrated systems.

✓ Troubleshoot and resolve technical problems in a timely manner, escalating to L3 or vendor support when necessary.

✓ Monitor and manage security solutions (e.g., Kaspersky), ensuring compliance with organizational policies.

✓ Support and maintain ITSM tools (Zoho Ticketing, Freshworks), ensuring effective tracking and resolution of client issues.

Technical Skills

✓ Expertise in M365 and O365 suite: Exchange Online, SharePoint, Teams, OneDrive, AD and other Microsoft Services.

✓ Strong knowledge of Azure services: Virtual Machines, Storage, Identity Management, AD Connec & other Azure Services.

Migrations:

✓ Hands-on experience with O365 tenant-to-tenant migrations & other e-mails services to O365 migration.

✓ Proficiency in Azure migrations, including lift-and-shift or modernization approaches.

Skills Needed

Qualification: 

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of relevant experience in technical consulting, particularly with Microsoft and ITSM tools.
• Certifications in Microsoft products (e.g., M365, Azure Fundamentals, Azure Administrator) is must.
• Strong problem-solving skills and the ability to work independently or as part of a team.
• Excellent verbal and written communication skills.

Other

• Willingness to travel occasionally for onsite client engagements.
• Ability to work under pressure and meet tight deadlines.
• Strong organizational skills with attention to detail.

Interview process

1st Virtual Round

2nd Face to Face Round

Location : Kochi

Candidated must be in Kerala and should be willing to relocate.

Notice Period : up to 30 days

Job Summary

We are seeking a motivated and detail-oriented Junior Azure Cloud Engineer with 2–3 years of experience in Microsoft cloud technologies. The ideal candidate will have hands-on experience in Microsoft Azure infrastructure services and Microsoft 365 administration. This role involves supporting cloud environments, managing identity and security, and assisting in cloud-based deployments and operations.

Key Responsibilities

• Manage and support Azure Entra ID (Azure Active Directory) including user management, group policies, conditional access, and identity governance.
• Configure and maintain Azure networking components such as Virtual Networks (VNet), Subnets, NSGs, VPN, and Load Balancers.
• Deploy and manage Azure Compute services including Virtual Machines, App Services, and related infrastructure.
• Administer Azure Storage services (Blob, File Shares, Backup, etc.).
• Monitor and maintain Microsoft 365 environments including Exchange Online, Teams, and SharePoint Online.
• Administer SharePoint Online sites, permissions, and configurations.
• Manage and monitor security policies using Microsoft 365 Security Center.
• Support cloud governance, compliance, and security best practices.
• Troubleshoot cloud infrastructure and M365-related issues.
• Collaborate with internal teams to support cloud migration and deployment activities.
• Document configurations, processes, and standard operating procedures.

Required Skills & Qualifications

• 2–3 years of hands-on experience in Microsoft Azure cloud services.
• Strong experience with Azure Entra ID, Azure Networking, Azure Storage, and Azure Compute services.
• Experience in Microsoft 365 Administration.
• Hands-on experience in SharePoint Online administration.
• Experience working with Microsoft 365 Security Center.
• Good understanding of cloud security, identity management, and governance.
• Strong troubleshooting and problem-solving skills.
• Good communication and documentation skills.

Nice to Have (Added Advantage)

• Experience with Azure DevOps (CI/CD pipelines, Repos, Boards, etc.).
• Basic scripting knowledge (PowerShell, Azure CLI).
• Azure or Microsoft 365 certifications.

Required Technical Skill Set

MS Azure, M365, PowerShell

No of Requirements

1

Desired Experience Range

5 to 10 Years

Location of Requirement

Bangalore/Hydrabad

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·        Hands-on experience in Automating solutions in Power shell at L3 level

·        Experience in monitoring, troubleshooting, and executing Azure Runbooks for operational automation

·        Working knowledge of Microsoft 365 Groups management and support

·        String Experience in M365 License Management

·        Strong understanding of Agile methodologies, with experience working in Scrum or Kanban environments

·        Knowledge of Azure monitoring and diagnostics tools (Log Analytics, Application Insights, Alerts)

·        Good understanding of application security, reliability, and performance optimization in cloud environments

·        Excellent problem-solving, collaboration, and communication skills

·        Proficiency in DevOps practices, including CI/CD pipeline implementation and maintenance (Azure DevOps or GitHub Actions)

Good-to-Have

·        AZ-204

·        Good understanding of M365 Security and Compliance features, including retention, audit, and data governance policies

We are hiring an experienced Azure DevOps Architect to design and drive enterprise-scale cloud engineering, DevOps transformation, and automation initiatives.

Responsibilities:

• Design and implement scalable Azure cloud architectures and DevOps solutions.
• Build and optimize CI/CD pipelines using Azure DevOps / GitHub Actions.
• Drive DevSecOps, Infrastructure-as-Code (Terraform), and cloud automation practices.
• Work with Kubernetes (AKS), Docker, and cloud-native platforms.
• Define engineering standards around security, governance, monitoring, and platform engineering.
• Explore AI-enabled engineering capabilities using Azure AI Foundry, Azure OpenAI, and MCP.

Qualifications:

• 10+ years of experience in Azure Cloud, DevOps, or Cloud Architecture.
• Strong hands-on expertise in Azure, Azure DevOps, Terraform, CI/CD, Kubernetes, and DevSecOps.
• Experience designing enterprise-grade cloud platforms and automation solutions.
• Exposure to AI/GenAI integration in engineering workflows is a plus.

Senior Cloud Site Reliability Engineer (CSRE) – Azure

About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.

Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.

Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.

Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

• Production-level management of GKE, AKS, and EKS.
• Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption

Job Title : Senior Azure Data / MLOps / AI Platform Engineer

Experience : 6+ Years

Employment Type : Contract

Role Level : Senior

Project : Leading South Africa Telecommunications Operator

Department : Data & AI Engineering

Job Overview :

We are looking for a Senior Azure Data / MLOps / AI Platform Engineer to design, build, and manage Azure-native cloud infrastructure, MLOps pipelines, and AI platforms supporting enterprise-scale data products and AI applications.

The ideal candidate will have strong expertise in Azure Cloud, Azure Databricks, Infrastructure as Code, CI/CD, Kubernetes, and MLOps, enabling scalable deployment of machine learning, GenAI, and AI Agent solutions.

Mandatory Skills :

Microsoft Azure, Azure Databricks, Terraform/Bicep, Azure DevOps or GitHub Actions, Docker, Kubernetes (AKS), MLflow, Azure ML, Kubeflow, CI/CD, MLOps, Infrastructure as Code, Azure Monitor, Prometheus, Grafana, Vector Databases, AI Platform Engineering.

Key Responsibilities :

• Design, deploy, and maintain Azure cloud infrastructure, landing zones, networking, storage, and compute environments.
• Build and manage Azure Databricks environments for data engineering and AI workloads.
• Develop Infrastructure as Code using Terraform or Bicep.
• Create and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.
• Implement MLOps solutions including model deployment, MLflow, model registry, monitoring, drift detection, and automated retraining.
• Deploy and manage AI platform components such as vector databases, model-serving endpoints, and AI infrastructure.
• Manage containerized workloads using Docker, Kubernetes (AKS), and cloud-native deployment practices.
• Monitor platform performance, observability, security, reliability, and infrastructure costs.
• Collaborate with Data Engineering, AI/ML, GenAI, Cybersecurity, and Solution Architecture teams to deliver scalable enterprise AI platforms.

Required Skills :

• 6+ years of experience in Cloud, Platform, or MLOps Engineering.
• Strong hands-on experience with Microsoft Azure services and Azure infrastructure.
• Expertise in Azure Databricks, Terraform/Bicep, and Infrastructure as Code.
• Experience with Azure DevOps or GitHub Actions for CI/CD.
• Strong MLOps knowledge including MLflow, Azure ML, Kubeflow, Model Registry, Model Deployment, Monitoring, and Drift Detection.
• Experience with Docker, Kubernetes (AKS), and Container Orchestration.
• Familiarity with Vector Databases, GenAI infrastructure, LLM deployment, and AI platform engineering.
• Experience with monitoring tools such as Azure Monitor, Prometheus, and Grafana.

Good to Have :

• Experience with Azure OpenAI, AI platforms, or enterprise GenAI deployments.
• Telecom, Banking, or other large enterprise domain experience.
• Microsoft Azure, Databricks, or MLOps certifications.

Please find below the job description for Senior Azure Fabric Data Architect role with Wissen Technology.

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Job Description:

Experience: 8–15+ Years

Location: Wissen Office (Pune/Bengaluru)

Position: 1

Job Summary

We are looking for an experienced Azure Fabric Data Architect to lead the design and implementation of an enterprise data platform on Microsoft Fabric. The role involves architecting scalable data solutions, defining data governance, and enabling AI-driven analytics for a global financial services client.

Key Responsibilities

• Design end-to-end data architecture using Microsoft Fabric.
• Build enterprise Lakehouse, Data Warehouse, and OneLake solutions.
• Define data ingestion, ETL/ELT, governance, security, and performance strategies.
• Lead architecture for AI-powered analytics, AI Agents, and enterprise chatbots using Azure AI services.
• Work with business stakeholders to translate requirements into technical solutions.
• Mentor engineering teams and provide technical leadership.

Required Skills

• Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, OneLake)
• Azure Data Engineering
• Power BI
• Azure AI Services / Azure OpenAI
• Data Architecture & Data Modeling
• SQL, Python
• Azure DevOps, CI/CD
• Strong stakeholder management and solution design experience

Technical Requirements

Any one Cloud Certification is madatory (AZ104 / AWS solution)

· Strong knowledge of application operations in cloud environments (Azure - Must , AWS understanding)

· Proficiency in monitoring and observability tools (Datadog, Grafana, Prometheus, ELK).

· Experience with incident management, RCA, and operational troubleshooting.

· Understanding of CI/CD concepts, tooling and ability to work with release teams.

· Familiarity with infrastructure components: load balancers, storage networking, DNS and certificates.

· Experience with automation and scripting (Bash, Python, PowerShell).

· Knowledge of application deployment patterns (blue/green, rolling, canary).

· Understanding of security practices: access controls, vulnerability handling, compliance alignment.

· Ability to interpret logs, metrics, traces, and performance data.

· Experience managing multi-environment application lifecycles (Dev, QA, UAT, Prod).

· Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM, AWS CloudFormation for

environment provisioning and configuration consistency.

Functional Requirements

· Ability to ensure 24x7 application reliability and operational excellence.

· Manage end-to-end application lifecycle including deployments, configurations, and environment

health.

· Collaborate with engineering, CloudOps, and Security teams to ensure smooth operations.

· Own operational KPIs such as uptime, MTTR, change success rate, and SLA/SLO adherence.

· Perform release coordination, deployment validation, and post-release monitoring.

· Lead incident response, communication, and escalation handling.

· Participate in change management and risk assessments for all application changes.

· Maintain runbooks, SOPs, and operational documentation.

· Drive continuous improvement for operational workflows and process maturity.

· Support audit, compliance, and security requirements for applications.

Job Title : API Lead

Experience : 8+ Years

Location : Remote (Laptop pickup required for 2 days from Noida, Hyderabad, Chennai, Pune, or Bengaluru)

Shift : IST (Regular Day Shift)

Role Overview :

We are looking for an experienced API Lead with strong expertise in C#.NET, Azure Cloud, Azure Functions, and Azure Kubernetes Service (AKS) to design, develop, and lead scalable, secure, and high-performance APIs and microservices for cloud-native applications.

Mandatory Skills :

C#, .NET, .NET Core/.NET 6+, Azure Cloud Services, Azure Functions, Azure Kubernetes Service (AKS), REST API Development, Docker, Kubernetes, Azure SQL/Cosmos DB, and CI/CD using Azure DevOps or GitHub Actions.

Mandatory Skills :

• C#.NET (.NET Core/.NET 6+)
• Azure Cloud Services
• Azure Functions
• Azure Kubernetes Service (AKS)
• REST API Development
• Docker and Kubernetes
• Azure SQL and/or Cosmos DB
• CI/CD (Azure DevOps or GitHub Actions)

Key Responsibilities :

• Design and develop RESTful APIs and microservices using C# and .NET Core/.NET 6+.
• Build and integrate solutions using Azure services such as Azure Functions, APIM, App Services, and Storage.
• Deploy and manage containerized applications using Docker and AKS.
• Implement API security using OAuth2, JWT, and Managed Identities.
• Optimize API performance and collaborate with Architecture, DevOps, and QA teams.

Required Technical Skills :

Must-Have Skills :

• Strong expertise in C#, .NET Core, and .NET 6+.
• Hands-on experience with Azure Functions and Azure Kubernetes Service (AKS).
• Strong understanding of REST API architecture and best practices.
• Experience with Docker and Kubernetes concepts.
• Knowledge of Azure API Management (APIM) and Azure PaaS services.
• Experience with Azure SQL Database and Cosmos DB.
• Familiarity with CI/CD pipelines using Azure DevOps and/or GitHub Actions.
• Strong understanding of API authentication and security mechanisms (OAuth2, JWT, Managed Identities).
• Experience with monitoring, troubleshooting, and performance tuning of APIs.

Good to Have :

• Experience with microservices architecture and distributed systems.
• Exposure to Infrastructure as Code (Terraform/Bicep).
• Experience with Application Insights and Azure Monitor.
• Knowledge of Agile/Scrum methodologies.

Key Responsibilities and Duties

• Lead technical solution design:
• Lead the design of technical solutions that meet business requirements.
• Ensure technical solutions are scalable, reliable, and maintainable.
• Ensure technical solutions align with enterprise architecture and technology standards.
• Ensure the implementation of technical solutions for quality and performance.
• Define technical architecture:
• Define technical architecture and standards for new and existing systems.
• Ensure technical architecture aligns with business and technology strategies.
• Continuously evaluate and update technical architecture to meet changing business needs.
• Present the architecture to stakeholders.
• Provide technical guidance and expertise:
• Provide technical guidance and expertise to development teams.
• Collaborate with development teams to ensure technical solutions are implemented correctly.
• Ensure technical solutions meet functional and non-functional requirements.
• Develop and maintain technical documentation:
• Develop and maintain technical documentation, including architecture diagrams, specifications, and standards.
• Ensure technical documentation is accurate and up to date.
• Ensure technical documentation is accessible to relevant stakeholders.
• Manage technical risk and compliance:
• Identify and manage technical risks associated with technical solutions.
• Ensure technical solutions comply with regulatory and security standards.
• Monitor and report on technical compliance.
• Collaborate with other departments:
• Collaborate with other departments to ensure technical solutions align with business needs.
• Build strong relationships with key stakeholders.
• Provide technical guidance and support to other departments as necessary.
• Mentor and coach technical staff:
• Mentor and coach technical staff to improve their skills and knowledge.
• Provide feedback and performance evaluations to technical staff.
• Develop technical staff to assume greater responsibilities.
• Continuously improve technical architecture and design processes:
• Continuously improve technical architecture and design processes and tools.
• Ensure adherence to technical architecture and design standards and best practices.
• Identify and implement process improvements to increase efficiency and effectiveness.

Mandatory skills

Project Mandatory Skills

Project Desired Skills

• Designing enterprise grade systems from scratch
• Developing prototypes for custom frameworks
• Design and Develop custom workflow engines
• Worked with various database like Oracle, SQL, Postgres, Cosmos, MySQL, NoSQL etc
• Work experience with systems involving ETL processing (Pentaho or SSIS or Informatica)
• Work experience with Reporting tools (PowerBI)
• Work experience with Data Analytics
• Well-verse with Cloud services knowledge either Azure or AWS. Azure is desired
• Expertise in designing solutions for Cross-cutting concerns like Centralized logging, Observability, Activity Traceability, Security Mgmt., File exchange, Integration with external systems etc
• Very good verbal communication to interact with stakeholders
• Very good knowledge to use AI Coding Agents like Claude Code or Codex or Github Copilot for developing custom frameworks
• Very good knowledge to add workflows in the tools like Github or Static code analysis etc to automate the review processes
• Well-verse with Cloud services knowledge either Azure or AWS. Azure is desired
• Retail industry knowledge is desired skills
• Working with a team size of 20 is desired
• Working in any Legacy transformation to modern enterprise system
• Togaf certification
• Use of ADO and Azure Repo, Azure DevOps pipelines

Qualifications

• Bachelor’s degree in computer science, Information Technology, or related field.
• 12 – 15 years of experience in technical architecture and design in IT organizations.
• Strong understanding of enterprise architecture principles and best practices.
• Experience with a wide range of technologies and platforms.
• Strong leadership, communication, and collaboration skills.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Ability to influence and negotiate with stakeholders.
• Strong problem-solving and analytical skills.

Job Title:  RPA Developer

Experience: 4+ Years

Location: Hybrid (Bangalore)

Job Summary

We're looking for an RPA Developer with hands-on experience in Microsoft Power Automate and Automation Anywhere. The ideal candidate will bring a mix of RPA development and platform administration experience (minimum 6 months in admin activities) and a passion for building scalable automation solutions.

Key Responsibilities

• Design, develop, and deploy automation solutions using Microsoft Power Automate and Automation Anywhere.
• Identify and automate business processes to improve efficiency.
• Integrate automations with enterprise applications and cloud services.
• Administer and maintain Power Automate and Automation Anywhere environments.
• Monitor platform performance, security, governance, and compliance.
• Troubleshoot and enhance existing automation workflows.

Required Skills

• Strong hands-on experience with Microsoft Power Automate and Automation Anywhere.
• Experience in both RPA development and platform administration (minimum 6 months of administration experience).
• Proficiency in Python, JavaScript, VBScript, or .NET.
• Experience with at least one major cloud platform: Azure, AWS, or GCP.
• Experience integrating automation solutions with enterprise systems and APIs.
• Strong problem-solving and stakeholder communication skills.

Preferred Skills

• Certifications in Microsoft Power Platform/Power Automate or Automation Anywhere.
• Experience with AI Builder, Process Advisor, Dataverse, and Jira.
• Exposure to Pega or other BPM platforms.

About the Role 

We are looking for a Senior DevOps Engineer to lead the design, automation, and scaling of our hybrid cloud infrastructure spanning public cloud and private/on-premises environments. You will partner closely with software engineering, security, and product teams to build reliable, secure, and high-performance systems that support rapid product delivery. This is a hands-on role with significant influence over our infrastructure strategy, deployment workflows, and engineering culture. 

Key Responsibilities 

• Architect, deploy, and maintain scalable, highly available infrastructure across both public cloud (AWS, Azure, GCP) and private cloud platforms (OpenStack, VMware vSphere/Tanzu, Nutanix, or similar). 
• Operate and maintain on-premises infrastructure: hypervisors, compute, storage (Ceph, NetApp, SAN/NAS), networking (SDN, VLANs, BGP, MPLS), and hardware capacity planning, alongside their public cloud equivalents. 
• Design and own CI/CD pipelines that deploy seamlessly across public and private environments. 
• Implement and manage Infrastructure as Code (Terraform, Ansible, Pulumi) with strong version control and review practices, using providers for both public and private cloud platforms. 
• Manage container orchestration (Kubernetes, ECS, OpenShift, Rancher) across managed cloud services and self-managed/bare-metal clusters, including upgrades, autoscaling, and workload reliability. 
• Build observability into all systems through logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, ELK, or similar) with unified visibility across hybrid environments. 
• Champion security best practices: secrets management, IAM hardening, network segmentation, vulnerability scanning, and compliance (SOC 2, ISO 27001, HIPAA, or data-sovereignty requirements). 
• Lead incident response, root-cause analysis, and post-mortems; drive long-term reliability improvements and SLO/SLA adherence. 
• Optimize cost, capacity, and resource utilization across public cloud spend and on-premises hardware without compromising performance or availability. 
• Partner with data center operations and network providers on hardware provisioning, firmware management, MPLS circuit management, and lifecycle planning. 
• Mentor junior DevOps and software engineers; promote DevOps culture, automation-first thinking, and shared ownership of production. 
• Evaluate and introduce new tools, platforms, and processes that improve developer productivity and system reliability. 

Required Qualifications 

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles, with at least 2 years at a senior level. 
• Deep expertise with at least one major public cloud provider (AWS, Azure, or GCP) in production. 
• Hands-on experience operating private cloud or virtualization platforms (OpenStack, VMware, Nutanix, or equivalent) in production. 
• Strong experience with virtualization, storage systems, and enterprise networking in on-premises environments. 
• Strong hands-on experience with Kubernetes in production, including both managed cloud and self-managed/bare-metal clusters. 
• Proficiency in Infrastructure as Code (Terraform and Ansible strongly preferred). 
• Solid scripting and programming skills in Python, Go, Bash, or similar. 
• Experience designing and operating CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or ArgoCD. 
• Strong Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, VPNs, firewalls, routing, MPLS). 
• Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, New Relic, ELK, or OpenTelemetry). 
• Proven track record of leading incident response and improving system reliability. 
• Excellent communication skills and the ability to collaborate across engineering, security, infrastructure, and product teams. 

Preferred Qualifications 

• Experience designing hybrid and multi-cloud architectures, including secure connectivity (Direct Connect, ExpressRoute, MPLS, VPN, SD-WAN) between public and private environments. 
• Familiarity with service meshes (Istio, Linkerd), API gateways, and GitOps workflows (ArgoCD, Flux). 
• Background in security-focused or regulated environments and exposure to compliance frameworks. 
• Experience with database administration (PostgreSQL, MySQL, Redis, MongoDB) in cloud-managed and self-hosted setups. 
• Contributions to open-source DevOps or cloud infrastructure tooling. 
• Relevant certifications (AWS Solutions Architect / DevOps Engineer, Azure Administrator, CKA, CKAD, RHCE, VMware VCP, OpenStack Certified Administrator, HashiCorp Terraform Associate). 

Mandatory Skills: ETL, Data Warehousing, Python, GCP Services

Required Skills:

● Bachelor’s degree in Computer Science or similar field or equivalent work experience.

● 4+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.

● Expert with data warehousing concepts, strategies, and tools.

● Strong SQL background.

● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.

● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS

● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

● Knowledge of AWS and Azure Cloud is a plus.

● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.

● Experience in integration using APIs, XML, JSONs etc.

● In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes

● Good understanding of SDLC, Agile and Scrum processes.

● Strong problem-solving, multi-tasking, and organizational skills.

● Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.

● Good written and verbal communication skills.

● Demonstrated experience of leading a team spread across multiple locations.

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Position: Cloud Sales Executive Industry: Web Hosting & Cloud Solutions Experience: 1–4Years Location: Amrapali Circle, Vaishali Nagar, Jaipur. Employment Type: Full-Time About Us: We are a fast-growing web hosting and cloud services provider, delivering secure, scalable, and reliable digital infrastructure to businesses across industries. With a commitment to performance, innovation, and customer success, we empower clients with world-class solutions like Shared Hosting, VPS, Dedicated Servers, Reseller Hosting, and cloud offerings on AWS, Azure, and Google Cloud. We're looking for a Senior Business Development Executive who thrives in a fast-paced, tech-driven environment and is passionate about driving growth through strategic outreach and relationship building. Role Overview: As a Senior Business Development Executive, you will be responsible for identifying, engaging, and converting prospective clients into long-term partners. You will leverage multiple channels such as cold calls, emails, LinkedIn networking, and industry events to generate quality leads and close sales. This role requires in-depth IT sales knowledge, excellent communication skills, and a solid understanding of cloud technologies and modern hosting infrastructure. You’ll be the bridge between client needs and our technical capabilities, offering customized solutions that drive real business value. Key Responsibilities: o Proactively identify potential clients using calls, emails, social media (especially LinkedIn), and industry connections o Build and maintain a pipeline of qualified leads in Google Sheets, ensuring all interactions are logged and updated o Understand client requirements, pain points, and business goals to recommend suitable hosting or cloud solutions o Conduct product walkthroughs, presentations, and consultations to guide decision-making o Prepare professional, customized proposals, pricing quotations, and service agreements o Handle negotiations with confidence, ensuring win-win outcomes for both client and company o Will be responsible for B2B and B2C and Pre-Sales and Post Sales and Tech teams to ensure accurate scoping and troubleshooting. o Close deals and ensure a smooth handoff to onboarding and support teams o Stay updated with industry trends, competitor activities, and emerging cloud technologies (AWS, Azure, GCP, Linode) o Educate clients on the benefits of moving to the cloud or upgrading their hosting infrastructure o Work with the marketing team to align outreach strategies and campaign goals o Participate in webinars, exhibitions, and other marketing events to represent the company What We’re Looking For: • 4–6 years of proven experience in business development, preferably in web hosting, cloud, or IT infrastructure sales • Strong knowledge of web hosting services and cloud technologies like AWS, Azure, GCP, Linode and more. • Exceptional written and verbal communication skills • Ability to prepare accurate, compelling quotations and proposals • Self-driven, goal-oriented, and confident in both outbound sales and consultative selling • Strong presentation, negotiation, and relationship management skills • Ability to work independently while contributing to a collaborative team culture Preferred Skills (Bonus Points): • Technical certifications in cloud platforms (AWS/Azure/GCP, Linode) • Experience in managed web hosting services • Basic understanding of B2B and B2C Selling What We Offer: • Salary as per industry with performance-based incentives • A supportive and collaborative team environment • Opportunities for learning and certification in cloud and IT technologies • Career growth in a rapidly expanding company 

About Searce

Searce (pronounced 'search') is a global, AI-native, and engineering-led modern technology consultancy. Founded in 2004 with a vision to "solve for better," we partner with organizations to "futurify" their businesses by leveraging the full power of Cloud, AI, and Data Engineering.

With a presence across 10+ countries—including the US, India, Singapore, and Australia—Searce has evolved over two decades into a trusted technology partner for over 3,000 clients. We are not just a service provider; we are a group of "solvers-at-heart" who thrive on complex technical challenges.

Why Join the "Solvers" Brigade?

• Award-Winning Excellence: In 2026, Searce was recognized as the Google Cloud Workplace AI Transformation Partner of the Year (APAC). We are a Premier Google Cloud Partner and a top-tier Managed Services Provider (MSP).
• AI-First Mindset: We specialize in Applied AI (Generative & Conventional), Cloud Modernization, and Location Intelligence, helping industries from FinServ and Healthcare to Retail and Manufacturing reinvent themselves.
• The "Futurify" DNA: We don't just maintain; we improve. We use our proprietary EVLOS business innovation framework to ensure our clients aren't just moving to the cloud, but are staying ahead of the curve.
• 
  

Our Culture: The HAPPIER Values

We look for individuals who live and breathe our HAPPIER values:

• Humble: We learn from everyone.
• Adaptable: We embrace change as the only constant.
• Positive: We focus on solutions, not just problems.
• Passionate: We are obsessed with engineering excellence.
• Innovative: We challenge the status quo.
• Excellence: We deliver impactful, futuristic outcomes.
• Responsible: We take ownership of our work and its impact.

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 5+ years of experience in Azure cloud infrastructure, with a significant portion in cloud managed services. Hands-on experience in Kubernetes is mandatory.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

About the Role

The PMO Manager You will oversee resource allocation, financial project controlling, and overall delivery management. Your goal is to ensure the right people are on the right projects at the right time, ensuring that budgets are respected and delivery timelines are met.

Key Responsibilities

• Resource Orchestration: Manage workload, vacation planning, and project assignments for the entire team.
• Project Controlling: Monitor project budgets and delivery milestones to ensure financial health.
• Agile Integration: Attend daily Scrums to gain real-time transparency into team capacity and roadblocks.
• Dynamic Re-allocation: Quickly shift resources between projects based on shifting priorities and daily insights.
• Skill Management: Track team skillsets, identify "skill gaps," and plan for training or new staffing needs.
• Strategic Oversight: Participate in Steering Committee (SteerCo) meetings to report on delivery status.

Requires Technical Skills

• Project Management Tools: Strong proficiency in Azure DevOps, Jira, or similar task-tracking platforms.
• Reporting & Analysis: Advanced skills in MS Excel (for budgeting/controlling) and MS Project.
• Communication Suite: Mastery of MS Teams, PowerPoint, and Word for stakeholder reporting.
• D365 Exposure: Familiarity with Dynamics CRM environments is highly preferred to understand the project landscape.

Qualification & Preferred

• Education: Degree in IT, Business, Engineering, or equivalent professional training.
• Experience: Proven track record in a PMO role is mandatory. Must have experience in project controlling and process optimization.
• Good to Have: Professional project management
• Process Knowledge: Deep understanding of the Project Life Cycle (PLC) and Software Development Life Cycle (SDLC).

Company Description:

VDart Digital is a global leader in digital solutions, product development, and professional services. Headquartered in Atlanta, GA, USA, the company has a robust global presence across North America, Europe, the Middle East, and Asia. VDart Digital specializes in delivering cutting-edge digital transformation solutions, leveraging technologies like AI/ML, blockchain, cloud computing, IoT, and data analytics. Its innovative product portfolio includes offerings such as TestSamurAI, LendSmartAI, IDocLens, and more, which are designed to optimize operations and drive business growth.

Role Description

• Design, build, and own enterprise-scale data platforms on Azure
• Take end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness
• Act as a bridge between business stakeholders, data engineering, and analytics teams to deliver scalable, high-performance solutions

Key Responsibilities

• Design and implement data pipelines using Azure Data Factory (ADF), including REST API and external source integration
• Build data transformation workflows using Databricks (PySpark) for complex and nested JSON datasets
• Architect and implement Delta Lake-based platforms with fact and dimension models (star schema)
• Define and enforce best practices for data modeling, performance optimization, and cost efficiency
• Own the full data platform lifecycle: architecture, deployment, monitoring, and support
• Establish production readiness frameworks including logging, alerting, and data quality checks
• Collaborate with business and analytics teams to translate requirements into scalable solutions
• Mentor engineering teams and drive architectural governance

Required Experience & Skills

• Experience building pipelines using Azure Data Factory
• Experience integrating REST APIs using Azure Data Factory
• Experience building transformations using Databricks (PySpark)
• Experience handling complex and nested JSON datasets using PySpark
• Experience designing dimensional models (star schema)
• Experience implementing fact and dimension tables in Databricks Delta Lake
• 15–20 years of experience in enterprise data platforms, with at least 5 years in Azure data services
• Ability to bridge business, data engineering, and analytics teams
• Experience owning end-to-end production readiness including architecture, deployment, monitoring, and support

We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants.  The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies. 

Responsibilities: 

• Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies 
• Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories 
• Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly 
• Leverage Generative AI services to enhance chatbot responses with creativity and personalization 
• Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience 
• Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions 
• Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization 
• Stay updated on the latest advancements in Conversational AI technologies and best practices.
• Apply Microsoft Foundry methodologies for rapid prototyping, iterative experimentation, and accelerated delivery of AI-driven chatbot solutions
• Build, refine, and scale enterprise-grade chatbot applications using Foundry-aligned engineering practices, reusable components, and standardized deployment workflows

Preferred Qualifications: 

• 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots 
• Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization 
• Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic 
• Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems 
• Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation 
• Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs 
• Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation 
• Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange 
• Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements 
• SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod).
• Hands-on experience working with Microsoft Foundry frameworks, including rapid MVP creation, modular architecture patterns, and AI-driven solution accelerators
• Demonstrated experience building, deploying, and optimizing chatbot applications using Foundry engineering standards and reusable AI components
• Excellent communication, collaboration, and problem-solving skills 
• Ability to work independently and manage multiple projects simultaneously 
• Passion for innovation and a strong desire to push the boundaries of Conversational AI technology 

Role: Senior Software Developer (Backend) - .Net with Microservices & Cloud

YOE: 6.5+ years

Skills: C#, ASP. Net, Microservices Architecture, ASP.NET Core, Web API development, Azure

Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure

Functions, Azure Blob storage, Caching, NoSQL Databases

About the role:

The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software

that solves real problems. Strives for security, performance, simplicity, usability, and maintainability.

Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution

● Works within established agile methods, promoting an atmosphere of continuous improvement.

● Continuously learns new technologies and patterns and practices.

● Documents knowledge for the benefit of the team.

● Reports to the team on obstacles and roadblocks.

● Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team

meetings.

● Promote patterns and best practices on the team.

● Mentors and guides the less experienced software engineers.

2. Planning and Design

● Works with the product team and stakeholders to refine and document requirements.

● Estimates effort for planning purposes.

● Designs and documents enterprise-level software architecture, consulting with Enterprise

Architecture when appropriate.

3. Development

● Writes code to develop software that meets requirements and specifications.

● Follows established software development life cycle (SLDC).

● Writes code with readability and future maintenance in mind.

● Follows established source control standards and best practices.

● Adheres to established secure coding practices.

● Reviews code for other developers.

● Leads team-based development efforts.

4. Quality Assurance

● Validates QA findings and fixes defects.

● Develops integration and testing points in the software that allow for QA testing.

● Assists QA in running performance and load tests.

5. Release

● Assists with release planning and releases.

6. Support

● Assists the support team as needed, including root cause analysis.

● Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

Solid Understanding of The Following:

● Microservices Architecture:

Confidential. c Foxsense Innovations. 1

● Microservices design principles (bounded contexts, loose coupling)

● API-first design and contract management

● Event-driven design principles

● Asynchronous messaging patterns

● Eventual consistency concepts

● Idempotency and message replay handling

● ASP.NET Core Web API development

● Web Apps

● Azure Kubernetes Service (AKS)

● Azure Blob Storage usage and lifecycle management

● API Gateway / Azure API Management concepts

● Entra (Authentication)

● Azure Service Bus

● Azure Functions

● Caching

● NoSQL DatabasesProcesses & Standards: Git, GitFlow, OO Programming, Kanban, Secure

Coding, & Agile Methodologies

Bonus Skills:

● Excellent written and verbal communication

● Excellent documentation

● Continuous learning

● Collaboration across team and functional boundaries

● Troubleshooting and creative problem solving

● Design simple architecture that supports complex applications and APIs

● Architect extensible databases

● Author complex component-based client applications and restful APIs

● Perform advanced CRUD operations against multiple data sources

● Manipulate enterprise level data structures

● Mentor less experienced team members

● Take ownership of team processes and legacy applications

● Perform business analysis tasks, such as requirements gathering and wireframing

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

Job role: Systems Engineer (L2)

Location: Remote/Bengaluru

Experience: 3-6 years

About the Role:

We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.

Key Responsibilities:

 — Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.

 — Manage and optimize networking components — routers, switches, firewalls, load balancers.

 — Handle incident response — monitor systems, identify issues, resolve production problems.

 — Implement DevOps best practices — CI/CD pipelines, automation, containerization.

 — Collaborate with backend and product teams on system architecture.

— Performance tuning — ensure high availability and reliability of platform.

— Security management — implement security protocols and compliance standards.

Required Skills:

Technical:

• Linux/Unix administration — strong fundamentals
• Networking — TCP/IP, DNS, BGP, VoIP protocols
• Cloud platforms — AWS/GCP/Azure — minimum 2 years
• DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
• Monitoring tools — Grafana, Prometheus, Kibana, Datadog
• Scripting — Python, Bash, Shell
• Databases — MySQL, PostgreSQL, Redis

Soft skills:

• Strong problem-solving under pressure
• Good communication — English written and verbal
• Team player — collaborative mindset

Good to Have:

• Experience in telecom/CPaaS/cloud communications industry
• Knowledge of VoIP, SIP, RTP protocols
• AI/ML operations experience
• CCNA/AWS certifications

Essential Functions/Responsibilities

• Provide hands-on development in the application development, unit test, and rollout of

strategic web and Mobile initiatives.

• Develop both front-end and back-end for web/mobile applications, working with a hybrid

internal/vendor team, to support various lines of business and functional areas

• Work with Business Owners and Business Analysis teams, to create business requirements.

• Document technical requirements and technical specifications for Web/Mobile

applications (and related integrated solutions) and provide technical solutions to support

those needs.

• Provide feedback (and approval) on technical designs and methods to support business

requirements.

• Effectively communicate relevant project planning and status information to

leadership/management.

• Deliver engaging, informa<ve, well-organized demos/presenta<ons that are effectively

tailored to the intended audience, as needed

Job Details

- Job Title: Full Stack Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-7 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: TypeScript, NodeJS, mongodb, RESTful APIs, React.js

Criteria

Candidate should have at least 4+ years of professional experience as a Full Stack Engineer

Hands-on experience with both React.js and Node.js

Solid understanding of MongoDB

Should have experience in RESTful APIs

Should be from a startup or scale up companies

Should have good experience in Typescript

Strong understanding of asynchronous programming patterns

Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

Job Description

The Role:

We’re looking for a Full Stack Engineer to build, scale, and maintain high-performance web applications for company’s technology platforms. This role involves working across the stack-frontend, backend, and infrastructure - using modern JavaScript-based technologies.

You’ll collaborate closely with product managers, designers, and cross-functional engineering teams to deliver scalable, secure, and user-centric solutions. This role is ideal for someone who enjoys end-to-end ownership, technical problem-solving, and working in a fast-paced startup environment.

What You’ll Own

1. Full Stack Development

● Design, develop, test, and deploy robust and scalable web applications.

● Build and maintain server-side logic and microservices using Node.js, Express.js, and TypeScript.

● Contribute to frontend feature development and integration.

● Participate in feature planning, estimation, and execution.

2. Backend & API Engineering

● Design and develop RESTful APIs and backend services.

● Implement asynchronous workflows and scalable microservice architectures.

● Ensure performance, reliability, and security of backend systems.

● Implement authentication, authorization, and data protection best practices.

3. Database Design & Optimization

● Design and manage MongoDB schemas using Mongoose.

● Optimize queries and database performance for scale.

● Ensure data integrity and efficient data access patterns.

4. Frontend Collaboration & Integration

● Collaborate with frontend developers to integrate React components and APIs seamlessly.

● Ensure responsive, high-performing application behavior.

5. System Design & Scalability

● Contribute to system architecture and technical design discussions.

● Design scalable, maintainable, and future-ready solutions.

● Optimize applications for speed and scalability.

6. Product & Cross-Functional Collaboration

● Work closely with product and design teams to deliver high-quality features in rapid iterations.

● Participate in the full development lifecycle—from concept to deployment and maintenance.

7. Code Quality & Best Practices

● Write clean, testable, and maintainable code.

● Follow Git-based version control and code review best practices.

● Contribute to improving engineering standards and workflows.

What We’re Looking For

Must-Haves

● 4+ years of professional experience as a Full Stack Engineer or similar role.

● Strong proficiency in JavaScript and TypeScript.

● Hands-on experience with Node.js and Express.js.

● Solid understanding of MongoDB and Mongoose.

● Experience building and consuming RESTful APIs and microservices.

● Strong understanding of asynchronous programming patterns.

● Good grasp of system design principles and application architecture.

● Experience with Git and version control best practices.

● Bachelor’s degree in Computer Science, Engineering, or a related field.

Good-to-Have / Preferred

● Frontend development experience with React.js.

● Exposure to Three.js or similar 3D/visualization libraries.

● Experience with cloud platforms (AWS, GCP, Azure – EC2, S3, Lambda).

● Knowledge of Docker and containerization workflows.

● Experience with testing frameworks (Jest, Mocha, etc.).

● Familiarity with CI/CD pipelines and automated deployments.

Tools You’ll Use

● Backend: Node.js, Express.js, TypeScript

● Frontend: React.js (preferred)

● Database: MongoDB, Mongoose

● Version Control: Git, GitHub / GitLab

● Cloud & DevOps: AWS / GCP / Azure, Docker

● Collaboration: Google Workspace, Notion, Slack

Key Metrics You’ll Own

● Code quality, performance, and scalability

● Timely delivery of features and releases

● System reliability and reduction in production issues

● Contribution to architectural improvements

Why company

● Work on impactful, product-driven tech platforms.

● High-ownership role with end-to-end engineering exposure.

● Opportunity to work with modern technologies and evolving architectures.

● Collaborative startup culture with strong learning and growth opportunities.

Description

Power BI JD

Mandatory:

• 5+ years of Power BI Report development experience.

• Building Analysis Services reporting models.

• Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.

• Connecting data sources, importing data, and transforming data for Business intelligence.

• Analytical thinking for translating data into informative reports and visuals.

• Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.

• Should have an edge over making DAX queries in Power BI desktop.

• Expert in using advanced-level calculations on the data set.

• Responsible for design methodology and project documentaries.

• Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.

• Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

• Experience working with Microsoft Business Intelligence Stack having Power BI, SSAS, SSRS, and SSIS

• Mandate to have experience with BI tools and systems such as Power BI, Tableau, and SAP.

• Must have 3-4years of experience in data-specific roles.

• Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more

• Knowledge of all the Power BI products (Power Bi premium, Power BI server, Power BI services, Powerquery etc)

• Grip over data analytics

• Interact with customers to understand their business problems and provide best-in-class analytics solutions

• Proficient in SQL and Query performance tuning skills

• Understand data governance, quality and security and integrate analytics with these corporate platforms

• Attention to detail and ability to deliver accurate client outputs

• Experience of working with large and multiple datasets / data warehouses

• Ability to derive insights from data and analysis and create presentations for client teams

• Experience with performance optimization of the dashboards

• Interact with UX/UI designers to create best in class visualization for business harnessing all product capabilities.

• Resilience under pressure and against deadlines.

• Proactive attitude and an open outlook.

• Strong analytical problem-solving skills

• Skill in identifying data issues and anomalies during the analysis

• Strong business acumen demonstrated an aptitude for analytics that incite action

• Ability to execute on design requirements defined by business

• Ability to understand required Power BI functionality from wireframes/ requirement documents

• Ability to architect and design reporting solutions based on client needs.

• Being able to communicate with internal/external customers, desire to develop communication and client-facing skills.

• Ability to seamlessly work with MS Excel working knowledge of pivot table and related functions

Good to have:

• Experience in working with Azure and connecting synapse with Tableau

• Demonstrate strength in data modelling, ETL development, and data warehousing

• Knowledge of leading large-scale data warehousing and analytics projects using Azure, Synapse, MS SQL DB

• Good knowledge of building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Good to have knowledge of Supply Chain Domain.

Description

Join company as a Backend Developer and become a pivotal force in building the robust, scalable services that power our innovative platforms. In this role, you will design, develop, and maintain server‑side applications, ensuring high performance and reliability for millions of users. You’ll collaborate closely with cross‑functional product, front‑end, and DevOps teams to translate business requirements into clean, efficient code, while participating in code reviews and architectural discussions. Our dynamic environment encourages continuous learning, offering opportunities to work with cutting‑edge technologies, cloud infrastructures, and modern development practices. As a key contributor, your work will directly impact product quality, user satisfaction, and the overall success of company's mission to streamline hiring solutions.

Requirements:

• 1–15 years of professional experience in backend development, with a strong focus on building APIs and microservices.
• Proficiency in server‑side languages such as Python, Java, Node.js, or Go, and solid understanding of object‑oriented and functional programming paradigms.
• Extensive experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis), including schema design and query optimization.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.
• Hands‑on experience with version control (Git), CI/CD pipelines, and automated testing frameworks.
• Strong problem‑solving abilities, effective communication skills, and a collaborative mindset for working within multidisciplinary teams.

Roles and Responsibilities:

• Design, develop, and maintain high‑throughput backend services and RESTful APIs that support core product features.
• Implement data models and storage solutions, ensuring data integrity, security, and optimal performance.
• Collaborate with front‑end engineers, product managers, and designers to define technical requirements and deliver end‑to‑end solutions.
• Participate in code reviews, provide constructive feedback, and uphold coding standards and best practices.
• Monitor, troubleshoot, and optimize production systems, implementing robust logging, alerting, and performance tuning.
• Contribute to the continuous improvement of development workflows, including CI/CD automation, testing strategies, and deployment processes.
• Stay current with emerging technologies and industry trends, proposing innovative approaches to enhance system architecture.

Budget:

• Job Type: payroll
• Experience Range: 1–15 years

Immediate hiring for Senior Data Engineer

📍 Location: Hyderabad/Bangalore

💼 Experience: 7+Years

🕒 Employment Type: Full-Time

🏢 Work Mode: Hybrid

📅 Notice Period: 0-1Month serving notice only

   We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our enterprise-wide data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

🔎 Key Responsibilities:

• Data Pipeline Development
• Data Modeling and Architecture
• Data Integration and API Development
• Data Infrastructure Management
• Collaboration and Documentation

🎯 Required Skills:

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
• 7+ years of proven experience in data engineering, software development, or related technical roles.
• 7+ years of experience in programming languages commonly used in data engineering (Python, Java, SQL, Stored Procedures, Scala, etc.).
• 7+ years of experience with database systems, data modeling, and advanced SQL.
• 7+ years of experience with ETL tools such as SSIS, Snowflake, Databricks, Azure Data Factory, Stored Procedures, etc.
• Experience with big data technologies such as Hadoop, Spark, Kafka, etc.
• 5+ years of experience working with cloud platforms like Azure, AWS, or Google Cloud.
• Strong analytical, problem-solving, and debugging skills with high attention to detail.
• Excellent communication and collaboration skills in a team-oriented, fast-paced environment.
• Ability to adapt to rapidly evolving technologies and business requirements.

FULL STACK DEVELOPER

JOB DESCRIPTION – FULL STACK DEVELOPER 

Location: Bangalore 

Key Responsibilities:       

Establish processes, SLAs, and escalation protocols for the support & maintenance of web applications       

Manage stakeholders with effective communication & collaborate with cross functional teams to address issues and maintain business continuity.      

Design, implement, unit test, and build business applications using React, React-Native, .Net Core, .Net 8, Azure/AWS and leveraging an agile methodology and latest tech like Agentic AI & Gihub Copilot.     

Facilitate scrum ceremonies including sprint planning, retrospectives, reviews, and daily stand-ups·       

Facilitate discussion, assessment of alternatives or different approaches, decision making, and conflict resolution within the development team       

Develop and administer CI/CD pipelines in cloud-hosted Git repositories, and source control artifacts via Git in alignment with common branching strategies and workflows    

Assist Software Designer/Implementers with the creation of detailed software design specifications      

Participate in the system specification review process to ensure system requirements can be translated into valid software architecture       

Integrate internal and external product designs into a cohesive user experience       

Identify and keep track of metrics that indicate how software is performing     

Handle technical and non-technical queries from the development team and stakeholders      

Ensure that all development practices follow best practices and any relevant policies / procedures 

Other Duties·       Maintain project reporting including dashboards, status reports, road maps, burn down, velocity, and resource utilization.    

Own the technical solution and ensure all technical aspects are implemented as designed. ·       

Partner with the customer success team and aid in triaging and troubleshooting customer support issues spanning across a range of software components, infrastructure, integrations, and services, some of which target 24/7/365 availability     

Flexible to work in rotational shift   

Required Qualification     

Previous experience of leading full stack technology projects with scrum teams and stakeholder management·       

BTech or MTech in computer science, or related field·       

3-5 years of experience.  

Required Knowledge, Skills and Abilities: (Include any required computer skills, certifications, licenses, languages, etc)·      

With Proficiency in .NET Core/.Net 8/, React, React-Native, Redux, Material, Bootstrap, Typescript, SCSS, Microservices, EF, LINQ, SQL, Azure/AWS, CI CD, Agile, Agentic AI, Github Copilot·       

Azure Dev Ops, Design System, Micro front ends, Data Science·       

Stakeholder management & excellent communication skills.    

Must have skills

React - 3 years

React Native - 3 years

Redux - 1 years

Material UI - 1 years

Typescript - 1 years

Bootstrap - 1 years

Microservices - 2 years

SQL - 1 years

Azure - 1 years

Nice to have skills

.NET Core - 3 years

NET 8 - 3 years

AWS - 1 years

LINQ - 1 years

Description

We are currently hiring for the position of Data Scientist/ Senior Machine Learning Engineer (6–7 years’ experience).

Please find the detailed Job Description attached for your reference. We are looking for candidates with strong experience in:

• Machine Learning model development
• Scalable data pipeline development (ETL/ELT)
• Python and SQL
• Cloud platforms such as Azure/AWS/Databricks
• ML deployment environments (SageMaker, Azure ML, etc.)

Kindly note:

• Location: Pune (Work From Office)
• Immediate joiners preferred

While sharing profiles, please ensure the following details are included:

• Current CTC
• Expected CTC
• Notice Period
• Current Location
• Confirmation on Pune WFO comfort

Must have skills

Machine Learning - 6 years

Python - 6 years

ETL(Extract, Transform, Load) - 6 years

SQL - 6 years

Azure - 6 years

Great Opportunity for .NET Developer

📍 Location: Hyderabad/Bangalore

💼 Experience: 3-10Years

🕒 Employment Type: Full-Time

🏢 Work Mode: Hybrid

📅 Notice Period: 0-1Month

Responsibilities:

· Lead moderately complex initiatives and deliverables within technical domain environments

· Contribute to large scale planning of strategies

· Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments

· Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures

· Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements

· Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

· Contributes heavily projects and act as an escalation point, provide guidance and direction to less experienced staff

· Participate in daily scrum activities.

Required Qualifications:

· 3+ years of Software Engineering experience, or equivalent demonstrated through work experience

· 2+ years of experience in C#, Web Forms, .NET, .NET Framework, .NET Core

· 2+ years of experience in Angular/React.js

· 2+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc.

Desired Qualifications:

· Bachelor's/Master's Degree in Computer Science or equivalent

· 2+ Years of experience in Enterprise Architecture

· 2+ years of DevOps tool set based continuous incremental delivery experience

· 2+ years working in Azure Public Cloud Platform

· 2+ years working in Micro Front End Architecture

· 2+ years using SQL Server or Oracle DB.

Skillset:

· SQL (PL/SQL and T-SQL)

· CI/CD

· REST API’s

· C#, Web Forms, .NET, .NET Framework, .NET Core

· Angular/React.js

· Web Form

Hi Folks, we are currently Hiring for Security Engineer.

Gemini said

Hiring: Security Engineer

Company : Pentabay Softwares

Location : Anna salai, Mount Road

Mode: Fulltime

Pentabay Softwares INC is looking for a proactive Security Engineer (2–7 Years Exp) to fortify our global digital solutions. As we scale our footprint in the Healthcare IT sector, you will play a critical role in safeguarding sensitive data (ePHI) and ensuring our cloud-native architectures are resilient against evolving threats.

The Mission

You will be the architect of our defense, bridging the gap between high-speed development and rigorous security standards. Your day-to-day will involve "shifting security left" by embedding DevSecOps practices into our CI/CD pipelines and leading our compliance efforts for SOC 2, ISO 27001, and HIPAA.

Key Responsibilities

Defense & Architecture: Design and maintain secure cloud (AWS/Azure/GCP) and on-prem environments. Implement IAM policies, Zero Trust frameworks, and robust secrets management.

Offensive Testing: Conduct regular vulnerability assessments (VAPT), penetration testing, and code reviews using tools like Burp Suite and Nessus.

DevSecOps & Automation: Integrate SAST/DAST/SCA scanning into engineering workflows. Automate security tasks using Python or Bash.

Incident Response: Monitor SIEM tools (Splunk/CrowdStrike), respond to threats, and develop risk mitigation strategies.

Healthcare Compliance (Plus): Ensure data integrity for HL7/FHIR APIs and maintain HIPAA/HITECH audit readiness for healthcare clients.

What You Bring

Experience: 2–7 years in Information/Application Security with a strong grasp of the OWASP Top 10 and threat modeling (STRIDE).

Technical Depth: Proficiency in network/endpoint security, PKI, encryption standards (TLS/SSL), and container security (Docker/Kubernetes).

Compliance Knowledge: Familiarity with NIST, GDPR, and SOC 2 frameworks.

Tools: Hands-on experience with Metasploit, Wireshark, and Infrastructure-as-Code (Terraform).

Bonus Points: Industry certifications like OSCP, CISSP, or CEH, and experience in Healthcare IT workflows.

Auditing space like ISO27001 , ISO9001 prefered

Why Pentabay?

At Pentabay, we offer more than just a job; we offer a security-first engineering culture.

Growth: A dedicated learning budget for certifications and conferences.

Impact: Work on cutting-edge Healthcare projects that demand the highest levels of data privacy.

Send resumes to : sandhiya.m at pentabay.com

NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead

ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.

THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.

KEY RESPONSIBILITIES

1. Architecture & Platform Modernisation

• Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
• Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
• Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
• Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
• Establish backend design standards, coding guidelines, and architectural review processes

2. Distributed Systems Engineering (Production-Grade)

• Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
• Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
• Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
• Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
• Apply Saga orchestration and choreography patterns for distributed transaction integrity
• Execute zero-downtime deployments and canary release strategies with rollback capability
• Design and enforce multi-region disaster recovery and business continuity protocols

3. AI-Driven Engineering Practices

• Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
• Apply prompt engineering techniques for automated code generation, review, and documentation workflows
• Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
• Build automation-first pipelines that reduce toil and accelerate delivery velocity
• Evaluate and integrate emerging AI developer tools into the engineering ecosystem

4. Engineering Leadership & Culture

• Own backend platforms end-to-end with full accountability across development, stability, and performance
• Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
• Drive and lead technical hiring — from designing assessments to final hire decisions
• Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
• Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
• Foster a culture of technical excellence, psychological safety, and high-velocity delivery

TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor

QUALIFICATIONS & CANDIDATE PROFILE

Education

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
• Exceptional real-world engineering track record may be considered in lieu of institution pedigree

Experience

• 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
• Proven track record of shipping and scaling production SaaS / Product systems at significant user load
• Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
• Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
• Demonstrated career stability — minimum 2 years average tenure per organisation
• The Ideal Candidate Exemplifies
• System-level thinking with an ability to hold context across code, architecture, product, and business
• An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
• Strong written and verbal communication skills for asynchronous, cross-functional collaboration
• Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
• Bias for automation, observability, and engineering efficiency at every level
• A mentor's instinct — genuine desire to grow others and raise the capability of the team around them

WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.

HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.

Recruiting Bond | Bengaluru, Karnataka, India | 2026

Job Title: Azure Logic App Developer 

Experience: 4-7 Years

Location: Bangalore, Pune, Kochi

Notice Period: Immediate Joiner/Serving 15 days

Skills:

·      4 years of experience in developing and managing Azure Logic Apps.

·      Proficiency in Azure services, including Azure Functions, Azure Service Bus, and Azure Storage.

·      Experience in developing .Net/Python Azure Functions

·      Strong understanding of RESTful APIs, JSON, and XML.

·      Experience with PowerShell scripting and Azure DevOps.

·      Excellent problem-solving skills and attention to detail.

·      Strong communication and collaboration skills.

·      Ability to work independently and as part of a team.

Preferred Qualifications:

·      Azure certifications (e.g., Azure Developer Associate, Azure Solutions Architect).

·      Experience with other Azure integration services like API Management and Event Grid.

·      Knowledge of CI/CD pipelines and automation tools.

Responsibilities:

·      Design and build end-to-end integration solutions using Azure Logic Apps, ensuring seamless connectivity across business applications.

·      Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

·      Optimize and maintain existing Logic Apps to ensure performance, scalability, and reliability.

·      Troubleshoot and resolve issues related to Logic Apps and associated integrations.

·      Prepare technical documents, integration guides, test cases, and post-implementation support plans.

·      Stay updated with the latest Azure technologies and best practices to continuously improve solutions.

·      Participate in code reviews and provide constructive feedback to team members.

·      The candidate needs to work in London time zone

Way2DreamJobs is building a premium cloud mentorship ecosystem focused on real-world Microsoft Azure and Modern Workplace skills.

We are inviting experienced Azure professionals to collaborate as founding weekend mentors for a remote mentorship program.

This is not a traditional full-time job. It is a flexible mentor collaboration model designed for working IT professionals who want to share real enterprise experience.

Responsibilities:

• Conduct weekend mentorship sessions

• Guide learners through practical Azure scenarios

• Support hands-on lab oriented learning

Ideal Profile:

• 4+ years Azure infrastructure experience

• Exposure to Microsoft Intune or M365 device management preferred

• Comfortable guiding professionals in live sessions

Benefits:

• Remote weekend engagement

• Build industry mentor brand authority

• Paid mentorship collaboration (structure discussed during call)

Job Details

- Job Title: Lead Software Engineer - Java, Python, API Development

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 8-10 years

- Employment Type: Full Time

- Job Location: Pune & Trivandrum/ Thiruvananthapuram

- CTC Range: Best in Industry

Job Description

Job Summary

We are seeking a Lead Software Engineer with strong hands-on expertise in Java and Python to design, build, and optimize scalable backend applications and APIs. The ideal candidate will bring deep experience in cloud technologies, large-scale data processing, and leading the design of high-performance, reliable backend systems.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using Java and Python
• Build and optimize Java-based APIs for large-scale data processing
• Ensure high performance, scalability, and reliability of backend systems
• Architect and manage backend services on cloud platforms (AWS, GCP, or Azure)
• Collaborate with cross-functional teams to deliver production-ready solutions
• Lead technical design discussions and guide best practices

Requirements

• 8+ years of experience in backend software development
• Strong proficiency in Java and Python
• Proven experience building scalable APIs and data-driven applications
• Hands-on experience with cloud services and distributed systems
• Solid understanding of databases, microservices, and API performance optimization

Nice to Have

• Experience with Spring Boot, Flask, or FastAPI
• Familiarity with Docker, Kubernetes, and CI/CD pipelines
• Exposure to Kafka, Spark, or other big data tools

Skills

Java, Python, API Development, Data Processing, AWS Backend

Skills: Java, API development, Data Processing, AWS backend, Python,

Must-Haves

Java (8+ years), Python (8+ years), API Development (8+ years), Cloud Services (AWS/GCP/Azure), Database & Microservices

8+ years of experience in backend software development

Strong proficiency in Java and Python

Proven experience building scalable APIs and data-driven applications

Hands-on experience with cloud services and distributed systems

Solid understanding of databases, microservices, and API performance optimization

Mandatory Skills: Java API AND AWS

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Pune, Trivandrum

We are looking for an experienced DevOps Architect with strong expertise in telecom environments (OSS/BSS, 4G/5G core, network systems). The candidate will design and implement scalable, highly available, and automated DevOps solutions to support telecom-grade applications and infrastructure.

Responsibilities:

• Design and implement DevOps architecture for telecom applications (OSS/BSS, mediation systems, billing platforms)
• Architect CI/CD pipelines using Jenkins, GitLab, or Azure DevOps
• Manage cloud infrastructure on Amazon Web Services, Microsoft Azure, or hybrid telecom data centers
• Implement containerization using Docker and orchestration with Kubernetes
• Design Infrastructure as Code (IaC) using Terraform
• Ensure high availability, disaster recovery, and zero-downtime deployment strategies
• Automate deployments for 4G/5G core network functions (CNFs/VNFs)
• Implement monitoring solutions using Prometheus, Grafana, and ELK Stack
• Work closely with network engineering and telecom operations teams
• Ensure compliance with telecom-grade security standards

JOB DETAILS:

* Job Title: Java Lead-Java, MS, Kafka-TVM - Java (Core & Enterprise), Spring/Micronaut, Kafka

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 9 to 12 years

* Location: Trivandrum, Thiruvananthapuram

Job Description

Experience

• 9+ years of experience in Java-based backend application development
• Proven experience building and maintaining enterprise-grade, scalable applications
• Hands-on experience working with microservices and event-driven architectures
• Experience working in Agile and DevOps-driven development environments

Mandatory Skills

• Advanced proficiency in core Java and enterprise Java concepts
• Strong hands-on experience with Spring Framework and/or Micronaut for building scalable backend applications
• Strong expertise in SQL, including database design, query optimization, and performance tuning
• Hands-on experience with PostgreSQL or other relational database management systems
• Strong experience with Kafka or similar event-driven messaging and streaming platforms
• Practical knowledge of CI/CD pipelines using GitLab
• Experience with Jenkins for build automation and deployment processes
• Strong understanding of GitLab for source code management and DevOps workflows

Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance backend solutions
• Develop and deploy microservices using Spring or Micronaut frameworks
• Implement and integrate event-driven systems using Kafka
• Optimize SQL queries and manage PostgreSQL databases for performance and reliability
• Build, implement, and maintain CI/CD pipelines using GitLab and Jenkins
• Collaborate with cross-functional teams including product, QA, and DevOps to deliver high-quality software solutions
• Ensure code quality through best practices, reviews, and automated testing

Good-to-Have Skills

• Strong problem-solving and analytical abilities
• Experience working with Agile development methodologies such as Scrum or Kanban
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Familiarity with containerization and orchestration tools such as Docker or Kubernetes

Skills: java, spring boot, kafka development, cicd, postgresql, gitlab

Must-Haves

Java Backend (9+ years), Spring Framework/Micronaut, SQL/PostgreSQL, Kafka, CI/CD (GitLab/Jenkins)

Advanced proficiency in core Java and enterprise Java concepts

Strong hands-oacn experience with Spring Framework and/or Micronaut for building scalable backend applications

Strong expertise in SQL, including database design, query optimization, and performance tuning

Hands-on experience with PostgreSQL or other relational database management systems

Strong experience with Kafka or similar event-driven messaging and streaming platforms

Practical knowledge of CI/CD pipelines using GitLab

Experience with Jenkins for build automation and deployment processes

Strong understanding of GitLab for source code management and DevOps workflows

*******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: only Trivandrum

F2F Interview on 21st Feb 2026