Sr Developer - Enterprise Integration

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 

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

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

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