Developer - Enterprise Integration in Pune, भारत

Integration Developer (3–6 Years)

Role Summary

A highly experienced, hands-on Senior Integration Developer responsible for designing and delivering complex, enterprise-grade integration solutions. Drives advanced development, owns Low-Level Design (LLDs), and ensures high-quality, CI/CD-driven delivery using Azure Integration Services, while mentoring teams and contributing to architecture alignment. 

Key Responsibilities

Core Development (Primary Focus)

• development of  complex, large-scale integration solutions using  Azure Integration Services (Logic Apps, Azure Functions, Data Factory, Service Bus, Event Grid) . 

• Build  high-performance, scalable, and production-ready solutions , handling complex enterprise integration scenarios. 

• Develop  reusable frameworks, advanced integration patterns, and shared components to accelerate delivery across programs. 

API Development & APIM Governance

• Design and implement  enterprise-grade APIs using  Azure API Management (APIM) . 

• Configure  advanced APIM policies including security, transformation, throttling, and routing. 

• Ensure APIs meet  performance, security, and governance standards . 

Low-Level Design & Technical Ownership

• Own and drive  Low-Level Design (LLDs)for modules and critical components. 

• Translate business and architectural requirements into  scalable, well-structured technical designs . 

• Ensure strict adherence to  architecture standards, design principles, and best practices . 

Azure DevOps & CI/CD (Key Responsibility)

• Design, implement, and optimize  CI/CD pipelines using Azure DevOps / GitHub Actions . 

• Drive  end-to-end automation of build, deployment, and release processes using  Infrastructure as Code (IaC) . 

• Ensure  consistent, reliable, and high-quality releases across environments. 

• Improve  deployment efficiency, rollback strategies, and release governance . 

Testing, Debugging & Production Support

• Lead  unit testing, integration testing, and validation strategies . 

• Handle  complex debugging and root cause analysis across APIs, events, and workflows. 

• Provide strong support for  critical production issues and performance bottlenecks . 

Monitoring, Reliability & Performance

• Implement and enhance  observability frameworks using  Azure Monitor and Application Insights . 

• Ensure solutions meet  SLAs for reliability, scalability, and performance . 

AI & Copilot-Enabled Development

• Actively leverage  GitHub Copilot / M365 Copilot for:  

• Code acceleration and optimization 

• LLD and API documentation generation 

• Debugging and performance insights 

• Apply  AI-assisted engineering practices to improve productivity and delivery quality. 

• Contribute to adoption of  AI-driven development practices within the team . 

Technical Leadership & Mentoring

• Provide  hands-on technical leadership , guiding developers on design, coding, and best practices. 

• Conduct  code reviews, design reviews, and quality checks . 

• Mentor engineers and junior developers, building  strong technical capability across the team . 

Collaboration in Complex Delivery Programs

• Work closely with  Leads, Architects, QA, DevOps, and business stakeholders . 

• Drive alignment between  design, development, and delivery timelines . 

• Actively contribute to  high-velocity, agile delivery environments . 

Required Skills

• Experience: 3–6 years with strong focus on  hands-on integration development in complex delivery environments . 

• Azure Integration: Deep expertise in  Azure Integration Services (AIS) . 

• API Development: Advanced experience with  Azure API Management (APIM) . 

• Programming: Strong coding expertise in  C#, .NET, REST APIs, JSON, XML . 

• Design Skills: Proven experience in owning  LLDs and contributing to HLDs . 

• Integration Patterns: Strong knowledge of  event-driven, distributed, and microservices-based architectures . 

• Azure CI/CD: Hands-on expertise in  designing and managing CI/CD pipelines using Azure DevOps / GitHub Actions . 

• Debugging & Performance: Advanced troubleshooting and optimization skills. 

• AI & Copilot Skills:

• Active and effective use of  GitHub Copilot / M365 Copilot

• Practical understanding of  AI-assisted development workflows

Preferred Skills

• Experience with  MuleSoft (architecture, migrations, or coexistence) . 

• Exposure to  AI/ML integration use cases and intelligent automation . 

• Knowledge of  enterprise security, API governance, and compliance frameworks .