Senior Integration Developer (6–9 Years)

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 solutionsusing 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 componentsto accelerate delivery across programs.

API Development & APIM Governance

• Design and implement enterprise-grade APIsusing Azure API Management (APIM)

• Configure advanced APIM policiesincluding 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 automationof build, deployment, and release processes using Infrastructure as Code (IaC)

• Ensure consistent, reliable, and high-quality releasesacross 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 analysisacross APIs, events, and workflows.

• Provide strong support for critical production issues and performance bottlenecks

Monitoring, Reliability & Performance

• Implement and enhance observability frameworksusing Azure Monitor and Application Insights

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

AI & Copilot-Enabled Development

• Actively leverage GitHub Copilot / M365 Copilotfor:

• Code acceleration and optimization

• LLD and API documentation generation

• Debugging and performance insights

• Apply AI-assisted engineering practicesto 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

• Activelycontributeto 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-basedarchitectures

• 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