Senior Developer - Enterprise Integration

Johnson Controls

Pune District

On-site

INR 3,500,000 - 6,500,000

Full time

8 hours ago
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Job summary

Johnson Controls in Pune, India is seeking a Lead Integration Developer with 9–12 years of software engineering experience focused on cloud and iPaaS integrations. You will own end-to-end integration delivery, define architectures, and mentor high-performing teams.

You will design with Azure Integration Services, API management, and event-driven patterns, enabling scalable, secure enterprise solutions while leveraging AI and Copilot-enabled development practices.

Qualifications

  • 9–12+ years in software engineering with cloud and iPaaS integrations.
  • Azure Integration Services: hands-on experience.
  • Strong proficiency in C#, .NET, REST/SOAP APIs, JSON, XML.

Responsibilities

  • Own end-to-end integration solution design and delivery across complex programs.
  • Define and implement integration architectures, API strategies, reusable frameworks.
  • Review and govern HLDs and LLDs for scalability and maintainability.
  • Lead Azure Integration Services development and secure workflows.
  • Design APIs via Azure API Management and govern lifecycles.
  • Architect hybrid integrations between on-prem and cloud.
  • Leverage AI/Copilot-enabled development and AI-powered services.
  • Mentor teams and promote engineering standards.

Skills

Cloud & iPaaS joins
Azure Integration Services
C# and .NET
REST/SOAP & JSON/XML
API governance
Event-driven architecture
Hybrid integration
Leadership & delivery
AI & Copilot skills

Tools

Azure Logic Apps
Azure Functions
Azure Data Factory
Azure API Management
Cribl
GitHub Copilot
M365 Copilot

Job description

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.

Title: Lead Integration Developer
Exp: 9–12 Years
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)
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