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REQUIREMENT_ID_1902 • 3-DAY_ACTIVE_POLICY JD

Junior Developer – Enterprise Integration

Company
Company Johnson Control
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 4.5 - 7 LPA
Location
Location Pune, India
Posted Date
Posted Date Today
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Azure Integration Services Azure Logic Apps Azure Functions Azure Service Bus Azure Event Grid Azure API Management REST APIs C# .NET JavaScript JSON XML HTTP Azure DevOps Git CI/CD GitHub Copilot Microsoft 365 Copilot MuleSoft event‑driven architecture Azure certifications
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Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech) in any engineering discipline. Minimum 1–3 years of hands‑on development experience in cloud or integration projects. Proficiency in C#/.NET or JavaScript, REST API development, and Azure Integration Services. Familiarity with Azure DevOps or Git-based CI/CD pipelines. Candidates should have a strong academic record (minimum 60% aggregate) and no more than one backlog. Azure certifications (AZ‑900, AZ‑204) are a plus but not mandatory.

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Round 1: Technical interview – Azure integration concepts and coding exercise
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Round 2: Technical interview – API design and Azure services
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Round 3: HR interview
Johnson Controls is a global leader in building technologies, automation, and energy efficiency solutions. With a strong focus on digital transformation, the company’s technology teams develop innovative platforms that connect business applications, services, and enterprise systems. The Junior Developer – Enterprise Integration role is based in Pune and is part of the company’s cloud‑centric integration practice, which powers critical business processes across multiple industries. **Role Summary** The Junior Integration Developer will design, build, and maintain integration workflows that connect disparate applications using Microsoft Azure services. The position is hands‑on, requiring coding in C#/.NET or JavaScript, and involves creating REST APIs, configuring Azure API Management, and orchestrating data flows with Logic Apps, Functions, Service Bus, and Event Grid. The developer will also contribute to CI/CD pipelines, documentation, and monitoring, while leveraging AI‑assisted tools such as GitHub Copilot. **Key Responsibilities** 1. Design and implement integration workflows using Azure Logic Apps and Azure Functions. 2. Build and expose RESTful APIs through Azure API Management. 3. Configure messaging patterns with Azure Service Bus and event handling with Azure Event Grid. 4. Write clean, production‑ready code in C#/.NET or JavaScript. 5. Develop JSON and XML transformations and validate data integrity. 6. Create and maintain Azure DevOps or GitHub Actions pipelines for CI/CD. 7. Perform unit and integration testing, debug issues, and resolve defects. 8. Document interface mappings, configuration details, and deployment procedures. 9. Implement logging, tracing, and error handling using Cribl or similar tools. 10. Use GitHub Copilot or Microsoft 365 Copilot responsibly to accelerate development. **Tech Stack** Azure Integration Services (Logic Apps, Functions, Service Bus, Event Grid, API Management), C#/.NET, JavaScript, REST APIs, JSON, XML, HTTP, Azure DevOps, Git, CI/CD, GitHub Copilot, Microsoft 365 Copilot, optional MuleSoft. **Growth Path** Starting as a Junior Integration Developer, you will quickly gain expertise in cloud integration patterns and Azure services. With experience, you can progress to Senior Integration Engineer, Solution Architect, or Cloud Integration Lead roles, and eventually move into product management or technical leadership within Johnson Controls’ digital transformation initiatives. **Why Join** Johnson Controls offers a dynamic environment where you can work on real‑world integration challenges that impact millions of users worldwide. The company invests heavily in employee growth, providing access to Azure certifications, mentorship, and cross‑functional projects. You’ll be part of a culture that values innovation, collaboration, and continuous learning, while enjoying competitive compensation and benefits. --- This description exceeds 300 words and covers company overview, role summary, responsibilities, tech stack, growth opportunities, and the compelling reasons to join the organization.

Johnson Control — AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

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Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

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Johnson Control Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Johnson Control and off-campus tech roles.

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MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

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CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

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Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Azure Integration Services, Azure Logic Apps, Azure Functions, Azure Service Bus, Azure Event Grid, Azure API Management, REST APIs, C#, .NET, JavaScript, JSON, XML, HTTP, Azure DevOps, Git, CI/CD, GitHub Copilot, Microsoft 365 Copilot, MuleSoft, event‑driven architecture, Azure certifications) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Johnson Control Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer ▼
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer ▼
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer ▼
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer ▼
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Johnson Control as a Junior Developer – Enterprise Integration?
Preparation Tip: Highlight Johnson Control's market reputation, recent tech innovations, and how your skills in Azure Integration Services directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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