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Chubb Ltd. in Hyderabad seeks a hands-on Sr. NET Full Stack Engineer to build and modernize enterprise claims platforms.
You will own solutions from design through production, collaborating with regional teams and applying strong software fundamentals. This role emphasizes AI-assisted development tools, responsible use of AI, rigorous validation and accountability for the final solution. You will design, develop and maintain scalable backend services and APIs using C#, .NET Core, and modern
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/
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.
Sr .NET Full Stack Engineer
Engineering
Hyderabad
Full-time
Join Chubb’s APAC Claims Engineering team to build and modernize enterprise claims platforms and services. We are looking for a hands-on senior .NET engineer who combines strong software engineering fundamentals with practical, responsible use of AI-assisted development tools. You will own solutions from design through production, collaborate across regional teams, and help raise engineering quality, speed, and reliability.
This is not a traditional coding-only role. We expect engineers to use AI as part of their everyday engineering workflow while applying sound judgment, rigorous validation, and accountability for the final solution.
Design, develop and maintain scalable backend services and APIs using C#, .NET / ASP.NET Core and modern engineering patterns.
Own end-to-end delivery: requirements clarification, technical design, estimation, implementation, code review, testing, deployment, production support and continuous improvement.
Build secure REST APIs, integrations and event-driven services; manage data access, performance, resiliency, logging and observability.
Use AI coding assistants (such as GitHub Copilot, Claude Code or equivalent approved tools) to accelerate implementation, refactoring, test creation, debugging and documentation.
Apply AI-native engineering practices: break down work into clear context-rich tasks, guide coding agents, review generated changes, validate assumptions, and ensure code meets architecture, security and quality standards.
Knowledge of AI-enabled engineering workflows, including agentic development, repository-aware code assistance and automation of repetitive SDLC activities, within enterprise controls.
Write clean, maintainable, well-tested code; implement automated unit, integration and contract tests and contribute to CI/CD pipelines.
Participate in architecture and design discussions, identify technical debt, propose improvements and make informed engineering trade-offs.
Investigate production issues, perform root-cause analysis, implement permanent fixes and support operational stability.
Communicate clearly with product owners, architects, QA, security, platform and distributed engineering teams; proactively flag dependencies, risks and delivery impacts.
Mentor engineers through reviews, technical guidance and knowledge sharing; take accountability for commitments and engineering outcomes.