Senior Enterprise Integration Developer

About the job

Job Description Title: Senior Enterprise Integration Developer Exp: 5 +yrs Role Summary A strategic and hands-on Integration Leader responsible for driving end-to-end delivery of enterprise integration solutions. Ensures alignment with enterprise architecture, leads technical design (HLD/LLD), and builds high-performing teams while leveraging modern cloud, AI, and Copilot-enabled development capabilities. Key Responsibilities Integration Architecture & Delivery

- Own and lead end-to-end integration solution design and delivery across complex enterprise programs.

- Define and implement integration architectures, API strategies, and reusable frameworks aligned with enterprise standards.

- Create, review, and govern High-Level Designs (HLDs) and Low-Level Designs (LLDs) ensuring scalability, performance, and maintainability.

- Drive architecture governance, technical design reviews, and best practices adoption . Azure Integration Services Implementation

- Lead development using Azure Logic Apps, Azure Functions, Azure Data Factory , and broader Azure Integration Services.

- Design highly resilient, secure, and scalable workflows and orchestrations . API Management & Governance

- Design, publish, secure, and monitor APIs via Azure API Management (APIM) .

- Drive enterprise API governance , lifecycle management, versioning, and security standards. Messaging & Event-Driven Architecture

- Build and implement event-driven and asynchronous architectures using Azure Service Bus, Event Grid, and Event Hubs .

- Champion loosely coupled, scalable integration patterns . Hybrid Integration

- Architect and implement integrations between on-premises systems and cloud platforms , ensuring seamless and reliable connectivity. AI & Copilot-Driven Engineering

- Leverage Microsoft Copilot (GitHub Copilot, M365 Copilot) to improve developer productivity, accelerate code development, and enhance solution quality.

- Utilize Generative AI for: - Automated code generation, refactoring, and documentation (LLDs, API specs)

- Intelligent workflow design and optimization

- AI-assisted debugging, testing, and root cause analysis

- Integrate AI-powered services (Azure OpenAI, Cognitive Services) within integration solutions to enable intelligent data processing and decision-making.

- Promote AI-first engineering practices , including prompt engineering and responsible AI usage. Monitoring, Security & Compliance

- Implement end-to-end observability using Cribl.

- Ensure secure data handling, compliance, and governance across integration solutions. Technical & Team Leadership

- Provide strong technical leadership and direction across teams.

- Conduct design reviews, code reviews, and enforce engineering standards .

- Mentor team members, enabling skill development in integration, cloud, and AI technologies .

- Manage technical risks, escalations, and critical design decisions . Collaboration & Stakeholder Management

- Collaborate with cross-functional teams, architects, business stakeholders, and vendors .

- Align technology solutions with business goals and enterprise strategy .

- Build and nurture a high-performing, collaborative, and innovation-driven integration team . Required Skills

- Experience: 9–12+ years in software engineering with strong focus on cloud and iPaaS integrations .

- Azure Expertise: Deep hands-on experience with Azure Integration Services (AIS) .

- Development Skills: Strong proficiency in C#, .NET, REST/SOAP APIs, JSON, XML .

- Design Skills: Extensive experience in LLD/HLD creation, architecture design, and solution documentation .

- API Expertise: Strong experience in API architecture, governance, and lifecycle management .

- Integration Patterns: Expertise in event-driven, microservices, and hybrid integration architectures .

- AI & Copilot Skills: (Good to have) - Hands-on usage of GitHub Copilot / M365 Copilot for development acceleration

- Understanding of prompt engineering and AI-assisted development workflows

- Exposure to Azure OpenAI / AI services integration

- Delivery Experience: Proven experience leading large-scale enterprise integration delivery . Preferred Skills

- Experience with MuleSoft architecture / coexistence strategies .

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

- Knowledge of data transformation standards (EDI, XML, JSON) and large-scale data pipelines.

- Familiarity with AI governance, ethics, and secure AI adoption in enterprises . Preferred Certifications

- Azure Solutions Architect Expert (AZ-305)

- Azure Developer Associate (AZ-204)

- DevOps Engineer Expert (AZ-400)

- (Good to have) Azure AI Engineer Associate (AI-102)