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Junior Integration Developer (1–3 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)
Monitor 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: 1–3 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.
