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Senior Enterprise Integration Developer

Johnson Controls
NewPosted this week

LOCATION

Pune-Maharashtra-India · Onsite

EXPERIENCE

9 - 12 Years

TYPE

FullTime

SKILLS REQUIRED

API IntegrationEvent-Driven ArchitectureSystem DesignAzure Integration ServicesRESTful APIs

Job description

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.

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Senior Enterprise Integration Developer