JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer

Responsibilities :

- Design, code, test, and deliver software to automate manual operational work
- Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure of incidents
- Engage with development team throughout the life cycle to help develop software for reliability and scale, ensuring mínimal refactoring or changes
- Design self-healing and resiliency patterns
- Design automated software and product upgrades, change management, and release management solutions
- Coach or manage teams as applicable
- Participate in the 24x7 support coverage as needed
- Leverage AI-powered tools and platforms to enhance observability, incident response, and operational efficiency
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work setting to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain,



including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

- Formal training or certification on software engineering concepts and 5+ years applied experience
- Exposure to tools related to CI/CD, Application Resiliency, and Security
- Exposure to microservice architecture, AWS and Containers
- Working knowledge of infrastructure components (e.g. routers, load balancers, cloud products, container systems, compute, storage, and networks)
- Excellent debugging and trouble shooting skills
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

- Financial Services and Commercial Banking experience is a plus

**ABOUT US

📌 Lead Software Engineer - Sre (Bengaluru)
🏢 JPMorganChase
📍 Bengaluru