Engineering Manager - AI SDLC & Full Stack
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What you'll do
- Set the AI-native engineering standard — AI-assisted development, intelligent test generation, automated code review, and agentic workflows are default practice, not experiments.
- Embed AI tooling into the full SDLC: from requirements parsing to deployment observability.
- Drive end-to-end delivery of scalable enterprise applications; own sprint quality, release velocity, and technical debt trade-offs.
- Make architectural decisions in partnership with Principal Engineers and Solution Architects; be opinionated.
- Actively evaluate emerging AI engineering tools (coding assistants, test generation, semantic search, agentic frameworks) and share learnings across teams.
- Lead and develop a team of engineers and technical leads; own their growth, performance, and culture.
- Champion psychological safety and a bias-for-action culture — high standards and high trust are not a trade-off.
- Contribute to hiring, onboarding, and building the CECI Digital engineering brand.
What they're looking for
- Strong hands-on engineering background in Java with solid Azure platform experience.
- You have personally used AI coding tools (GitHub Copilot, Cursor, Claude, etc.) and embedded them into team workflows — not piloted them.
- Experience leading engineering teams in agile, high-delivery environments.
- You can read code, review PRs, and engage technically — this is not a purely managerial role.
- A clear point of view on what good AI-native engineering looks like, and the ability to articulate it.
- Experience with microservices, cloud-native patterns, CI/CD, and DevOps practices.
Nice to have
- Prior exposure to regulated industries (insurance, fintech, banking) is a plus — not a gate.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About Chubb
Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: http://www.chubb.com/
About Chubb India
At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. With a team of over 2500 talented professionals, we foster a startup mindset that promotes collaboration, diverse perspectives, and a solution driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
Position Details
Job Title: Engineering Manager
Function/Department: Technology
Employment Type: Full-time
Location: Hyderabad/Bangalore
Key Responsibilities:
We are looking for an Engineering Manager who leads differently — someone who has already internalized that AI changes how software is built, not just what gets built. This role is for a hands-on leader who drives engineering teams to default to AI-first thinking: in how they code, test, review, and ship. You will manage and grow a high-performing engineering team building enterprise-grade platforms on Java, .NET, and Azure, and you will be the person who raises the AI fluency floor of the entire team.
Set the AI-native engineering standard — AI-assisted development, intelligent test generation, automated code review, and agentic workflows are default practice, not experiments.
Embed AI tooling into the full SDLC: from requirements parsing to deployment observability.
Drive end-to-end delivery of scalable enterprise applications; own sprint quality, release velocity, and technical debt trade-offs.
Make architectural decisions in partnership with Principal Engineers and Solution Architects; be opinionated.
Actively evaluate emerging AI engineering tools (coding assistants, test generation, semantic search, agentic frameworks) and share learnings across teams.
Lead and develop a team of engineers and technical leads; own their growth, performance, and culture.
Champion psychological safety and a bias-for-action culture — high standards and high trust are not a trade-off.
Contribute to hiring, onboarding, and building the CECI Digital engineering brand.
What We're Looking For:
Strong hands-on engineering background in Java with solid Azure platform experience.
You have personally used AI coding tools (GitHub Copilot, Cursor, Claude, etc.) and embedded them into team workflows — not piloted them.
Experience leading engineering teams in agile, high-delivery environments.
You can read code, review PRs, and engage technically — this is not a purely managerial role.
A clear point of view on what good AI-native engineering looks like, and the ability to articulate it.
Experience with microservices, cloud-native patterns, CI/CD, and DevOps practices.
Prior exposure to regulated industries (insurance, fintech, banking) is a plus — not a gate.
Company
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