Senior Developer - Enterprise Integration

About the job

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 .