Title: Lead Integration Developer
Exp: 9–12 Years
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)
Skills Required
- 9-12+ years in software engineering with strong focus on cloud and iPaaS integrations
- Deep hands-on experience with Azure Integration Services (Logic Apps, Functions, Data Factory)
- Experience designing, publishing, securing, and monitoring APIs using Azure API Management (APIM)
- Strong proficiency in C# and .NET
- Experience with REST and SOAP APIs, JSON and XML data formats
- Experience creating and governing High-Level Designs (HLD) and Low-Level Designs (LLD)
- Expertise in event-driven and asynchronous architectures using Azure Service Bus, Event Grid, Event Hubs
- Experience architecting hybrid integrations between on-premises systems and cloud platforms
- Implement end-to-end observability and monitoring (Cribl)
- Proven experience leading large-scale enterprise integration delivery and technical teams
- Hands-on usage of GitHub Copilot / M365 Copilot for development acceleration
- Exposure to Azure OpenAI and Cognitive Services integration
- Understanding of prompt engineering and AI-assisted development workflows
- Experience with MuleSoft architecture or coexistence strategies
- Knowledge of data transformation standards and large-scale data pipelines (EDI, XML, JSON)
- Familiarity with AI governance, ethics, and secure AI adoption in enterprises
- Preferred certifications: AZ-305, AZ-204, AZ-400 (preferred), AI-102 (good to have)
Johnson Controls Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson Controls and has not been reviewed or approved by Johnson Controls.
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Retirement Support — Retirement support is positioned as a meaningful part of the package through employer 401(k) matching, repeatedly framed as a strong pillar of the overall rewards mix. The matching contribution is described with specific match levels in multiple places, reinforcing perceived value for long-term saving.
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Leave & Time Off Breadth — Time off is presented as comparatively robust, with multiple paid holiday categories, vacation time, and sick time described as generous or “amazing” in places. Paid time off breadth appears to be a consistent contributor to total rewards attractiveness beyond base pay.
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Flexible Benefits — Benefits are described as broad and customizable, spanning standard medical/dental/vision plus optional add-ons like pet insurance, identity protection, and legal support. Tuition reimbursement is repeatedly highlighted as a high-value option supporting professional development.
Johnson Controls Insights
What We Do
At Johnson Controls, we transform the environments where people live, work, learn and play. From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission. Our leading portfolio of building technology and solutions includes some of the most trusted names in the industry, such as Tyco®, York®, Metasys®, Ruskin®, Titus®, Frick®, Penn®, Sabroe®, Simplex®, Ansul® and Grinnell®.
