Senior Integration Developer

Senior Integration Developer (6–9 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) Lead the 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

6–9 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 Mule.

Soft (architecture, migrations , or coexistence) . Exposure to AI/ML integration use cases and intelligent automation . Knowledge of enterprise security, API governance, and compliance frameworks .