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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.
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.
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 .
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 .
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Design, publish, secure, and monitor APIs via Azure API Management (APIM) .
Drive enterprise API governance , lifecycle management, versioning, and security standards.
Build and implement event-driven and asynchronous architectures using Azure Service Bus, Event Grid, and Event Hubs .
Champion loosely coupled, scalable integration patterns .
Architect and implement integrations between on-premises systems and cloud platforms , ensuring seamless and reliable connectivity.
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
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.
Implement end-to-end observability using Cribl.
Ensure secure data handling, compliance, and governance across integration solutions.
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 .
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 .
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)
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