Developer - Enterprise Integration
Johnson Controls International plc1 day ago
Pune, IndiaSenior
Responsibilities
- Develop complex, large-scale integration solutions using Azure Integration Services.
- Build reusable integration frameworks, patterns, and shared components for enterprise delivery programs.
- Design and implement enterprise APIs and configure Azure API Management policies for security, transformation, throttling, and routing.
- Own low-level designs and translate business and architectural requirements into scalable technical designs.
- Design and optimize CI/CD pipelines and automate build, deployment, and release processes.
- Lead testing, debugging, root-cause analysis, production support, and performance troubleshooting.
- Implement observability using Azure Monitor and Application Insights and support reliability, scalability, and performance objectives.
- Use GitHub Copilot and M365 Copilot for code acceleration, documentation, debugging, and performance insights.
- Provide technical leadership, conduct code and design reviews, and mentor engineers and junior developers.
- Collaborate with leads, architects, QA, DevOps, and business stakeholders in complex delivery programs.
Requirements
- 6–9 years of experience with hands-on integration development in complex delivery environments.
- Deep expertise in Azure Integration Services and advanced experience with Azure API Management.
- Strong coding expertise in C# and .NET, with experience working with JSON and XML.
- Experience owning low-level designs and contributing to high-level designs.
- Strong knowledge of event-driven, distributed, and microservices-based architectures.
- Hands-on experience designing and managing CI/CD pipelines using Azure DevOps or GitHub Actions.
- Advanced troubleshooting and optimization skills.
- Active and effective use of GitHub Copilot or M365 Copilot and practical understanding of AI-assisted development workflows.
- Preferred: experience with MuleSoft, including architecture, migrations, or coexistence.
- Preferred: exposure to AI/ML integration use cases, intelligent automation, enterprise security, API governance, and compliance frameworks.