Developer Enterprise Integration Delivery

Integration Developer

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 .

JCI is an Equal Opportunity Employer and does not discriminate on the basis of any protected categories.

JCI is an Equal Opportunity Employer and does not discriminate on the basis of any protected categories.