Senior Engineering Manager - Digital Solutions Development

Johnson Controls; Pune District; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Johnson Controls in Pune, India, seeks a hands-on Engineering Manager to lead high-performing software teams in an AI-enabled development environment. You will blend technical leadership with customer engagement, architectural guidance, and delivery execution.

You will mentor engineers, set engineering standards, drive modern practices, collaborate with cross-functional partners, and champion AI-assisted workflows to accelerate product delivery while maintaining quality and security.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or related discipline.
• 10+ years of software engineering experience with progressive leadership responsibilities.
• Proven experience leading software development teams in enterprise environments.
• Strong hands-on expertise in modern web application development.
• Experience managing full software development lifecycle activities.
• Strong expertise in Angular for front-end application development.
• Strong understanding of modern web architecture and design patterns.
• Experience conducting code reviews and mentoring development teams.
• Strong debugging and problem-solving skills.
• Experience with cloud-native and scalable application architectures.
• Experience with .NET / ASP.NET Core application development.
• Experience building enterprise SaaS products and digital platforms.
• Exposure to AI-assisted development tools and modern engineering productivity platforms.
• Experience with DevOps, CI/CD, automated testing, and deployment pipelines.
• Knowledge of containerization and cloud platforms (Azure preferred).

Responsibilities

• Provide technical direction and architectural guidance for enterprise software products and platforms.
• Conduct code reviews and ensure adherence to engineering best practices, security standards, and design principles.
• Guide teams on application architecture, design patterns, and technology selection.
• Troubleshoot and support resolution of complex technical issues when required.
• Drive adoption of modern software engineering methodologies and AI-assisted development practices.
• Lead the end-to-end delivery of software features and enhancements.
• Accelerate product delivery through automation, developer productivity tools, and AI-enabled engineering workflows.
• Foster a culture of engineering excellence, innovation, and continuous improvement.
• Collaborate with cross-functional teams to ensure timely delivery of high-quality solutions.
• Build, mentor, and develop engineering talent.
• Establish a culture of accountability, learning, collaboration, and innovation.
• Coach engineers on technical growth, modern development practices, and problem-solving approaches.
• Support performance management, succession planning, and team development initiatives.
• Champion the adoption of AI-assisted software development tools and practices.
• Identify opportunities to automate routine engineering tasks and improve delivery efficiency.
• Continuously evaluate emerging technologies and incorporate them into engineering strategies where appropriate.

Skills

Technical leadership

Team mentorship

Hands-on development

Customer engagement

Architectural guidance

DevOps

CI/CD

AI-assisted development

Angular

.NET

Education

Bachelor's degree in computer science or engineering

Master's degree in computer science or engineering

Tools

Angular 17+

Azure

SQL Server

PostgreSQL

GraphQL

REST APIs

GitHub Actions

Docker

Kubernetes

CI/CD

Job description

Role Overview

We are seeking a modern, hands-on Engineering Manager who can lead high-performing software engineering teams in an increasingly AI-enabled development environment. This role extends beyond traditional people management and requires a strong blend of technical leadership, customer engagement, architectural guidance, and engineering execution.The ideal candidate will possess deep technical expertise, remain closely connected to hands-on development, and leverage AI-assisted development practices to accelerate innovation, improve productivity, and deliver customer-centric solutions at speed.

Key Responsibilities

Technical Leadership

• Provide technical direction and architectural guidance for enterprise software products and platforms.
• Conduct code reviews and ensure adherence to engineering best practices, security standards, and design principles.
• Guide teams on application architecture, design patterns, and technology selection.
• Troubleshoot and support resolution of complex technical issues when required.
• Drive adoption of modern software engineering methodologies and AI-assisted development practices.

Engineering Delivery

• Lead the end-to-end delivery of software features and enhancements.
• Accelerate product delivery through automation, developer productivity tools, and AI-enabled engineering workflows.
• Foster a culture of engineering excellence, innovation, and continuous improvement.
• Collaborate with cross-functional teams to ensure timely delivery of high-quality solutions.

Customer & Stakeholder Engagement

• Engage directly with customers, business stakeholders, and product management teams to understand requirements and translate them into technical solutions.
• Develop rapid prototypes and proof-of-concepts to validate ideas and demonstrate product capabilities.
• Present technical solutions, product demonstrations, and roadmap updates to internal and external stakeholders

Team Leadership

• Build, mentor, and develop engineering talent.
• Establish a culture of accountability, learning, collaboration, and innovation.
• Coach engineers on technical growth, modern development practices, and problem-solving approaches.
• Support performance management, succession planning, and team development initiatives

AI-First Engineering Culture

• Champion the adoption of AI-assisted software development tools and practices.
• Identify opportunities to automate routine engineering tasks and improve delivery efficiency.
• Continuously evaluate emerging technologies and incorporate them into engineering strategies where appropriate.

TECH STACK

Angular 17+ | .NET 8 / C# | Azure | SQL Server / PostgreSQL REST / GraphQL APIs | GitHub Actions / CI-CD | AI Dev Tools | Docker / Kubernetes

Required Qualifications

• Bachelor's or master's degree in computer science, Engineering, or related discipline.
• 10+ years of software engineering experience with progressive leadership responsibilities.
• Proven experience leading software development teams in enterprise environments.
• Strong hands-on expertise in modern web application development.
• Experience managing full software development lifecycle activities
• Strong expertise in Angular for front-end application development.
• Strong understanding of modern web architecture and design patterns.
• Experience conducting code reviews and mentoring development teams.
• Strong debugging and problem-solving skills.
• Experience with cloud-native and scalable application architectures.
• Experience with .NET / ASP.NET Core application development.
• Experience building enterprise SaaS products and digital platforms.
• Exposure to AI-assisted development tools and modern engineering productivity platforms.
• Experience with DevOps, CI/CD, automated testing, and deployment pipelines.
• Knowledge of containerization and cloud platforms (Azure preferred).

Desired Leadership Competencies

• Technical credibility with engineering teams.
• Customer-focused mindset.
• Ability to balance strategic thinking with execution.
• Strong stakeholder management and communication skills.
• Innovation mindset with a passion for continuous learning.
• Ability to drive change and adopt emerging technologies.

Additional Evaluation Criteria

• Active GitHub profile showcasing personal projects or technical contributions.
• Open-source community participation.
• Stack Overflow contributions or technical thought leadership.
• Technical blogs, conference speaking engagements, or community involvement.
• Evidence of continuous learning and experimentation with emerging AI technologies.