Developer - Enterprise Integration

Integration Developer (3–5 Years)

Role Summary

A skilled, hands-on Integration Developer responsible for designing, developing, and delivering enterprise-grade integration solutions. Contributes to Low-Level Design (LLDs), supports development and delivery using Azure Integration Services, and ensures high-quality, CI/CD-driven implementation while collaborating with teams and aligning with architectural standards.

Key Responsibilities

Core Development (Primary Focus)

Develop integration solutions using Azure Integration Services (Logic Apps,

Azure Functions, Data Factory, Service Bus, Event Grid).

Build scalable, reliable, and production-ready solutions for enterprise integration scenarios.

Develop reusable components, integration patterns, and shared assets to improve delivery efficiency across projects.

API Development & APIM Governance

Design and implement APIs using Azure API Management (APIM).

Configure APIM policies including security, transformation, throttling, and routing.

Ensure APIs meet performance, security, and governance standards.

Low-Level Design & Technical Contribution

Contribute to the creation and maintenance of Low-Level Designs (LLDs) for assigned modules and components.

Translate business and architectural requirements into well-structured technical solutions.

Adhere to architecture standards, design principles, and development best practices.

Azure DevOps & CI/CD

Implement and maintain CI/CD pipelines using Azure DevOps / GitHub Actions.

Support automation of build, deployment, and release processes using Infrastructure as Code (IaC).

Ensure reliable and consistent deployments across environments.

Contribute to deployment optimization, rollback planning, and release governance.

Testing, Debugging & Production Support

Perform unit testing, integration testing, and solution validation activities.

Handle debugging and root cause analysis across APIs, events, and workflows.

Provide support for production issues and performance-related challenges.

Monitoring, Reliability & Performance

Implement and maintain observability solutions using Azure Monitor and Application Insights.

Support reliability, scalability, and performance objectives for integration solutions.

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 the adoption of AI-driven development practices within the team.

Technical Leadership & Collaboration

Provide technical guidance and support to team members on development best practices.

Participate in code reviews, design reviews, and quality assurance activities.

Collaborate with senior engineers and architects to strengthen technical capability within the team.

Collaboration in Complex Delivery Programs

Work closely with Leads, Architects, QA, DevOps, and business stakeholders.

Support alignment between design, development, and delivery timelines.

Actively contribute to agile delivery environments.

Required Skills

Experience: 3–5 years with a strong focus on hands-on integration development in enterprise delivery environments.

Azure Integration: Strong experience in Azure Integration Services (AIS).

API Development: Experience with Azure API Management (APIM).

Programming: Strong coding skills in C#, .NET, REST APIs, JSON, XML.

Design Skills: Experience contributing to and developing LLDs.

Integration Patterns: Good understanding of event-driven, distributed, and microservices-based architectures.

Azure CI/CD: Hands-on experience working with Azure DevOps / GitHub Actions and CI/CD pipelines.

Debugging & Performance: Strong troubleshooting and performance optimization skills.

AI & Copilot Skills:

• Active use of GitHub Copilot / M365 Copilot
• Practical understanding of AI-assisted development workflows

Preferred Skills

Experience with MuleSoft (development, migrations, or coexistence projects).

Exposure to AI/ML integration use cases and intelligent automation.

Knowledge of enterprise security, API security, authentication, and authorization.

Experience working with Infrastructure as Code (IaC).

Familiarity with Agile delivery methodologies and DevOps practices.