Overview
A strategic, hands-on integration leader who drives end-to-end delivery of enterprise integration solutions, aligns them with enterprise architecture, leads HLD and LLD design, and builds high-performing teams using modern cloud, AI and Copilot-enabled development.
What you'll do
- 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 adoption of best practices.
- 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.
- Design, publish, secure and monitor APIs via Azure API Management (APIM).
- Drive enterprise API governance, lifecycle management, versioning and security standards.
- Build 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 and solution quality.
- Use Generative AI for automated code generation, refactoring and documentation (LLDs, API specs), intelligent workflow design, AI-assisted debugging, testing and root cause analysis.
- Integrate AI-powered services (Azure OpenAI, Cognitive Services) within integration solutions for 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 technical leadership and direction across teams.
- Conduct design reviews and 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.
What you'll need
- 9–12+ years of experience in software engineering with a strong focus on cloud and iPaaS integrations.
- Deep hands-on experience with Azure Integration Services (AIS).
- Strong proficiency in C#, .NET, REST/SOAP APIs, JSON and XML.
- Extensive experience in LLD/HLD creation, architecture design and solution documentation.
- Strong experience in API architecture, governance and lifecycle management.
- Expertise in event-driven, microservices and hybrid integration architectures.
- Proven experience leading large-scale enterprise integration delivery.
Nice to have
- Hands-on usage of GitHub Copilot / M365 Copilot for development acceleration (good to have).
- Understanding of prompt engineering and AI-assisted development workflows (good to have).
- Exposure to Azure OpenAI / AI services integration (good to have).
- Experience with MuleSoft architecture and 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.
- Azure Solutions Architect Expert (AZ-305), Azure Developer Associate (AZ-204), DevOps Engineer Expert (AZ-400) and Azure AI Engineer Associate (AI-102) certifications (preferred; AI-102 marked good to have).
Details
- Location: Pune, Maharashtra, India.
Read the full description and apply on the company’s own careers page.