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- SRE at JPMorgan Chase within Commercial & Investment Bank Technology and Digital Investment Banking, you will help build a meaningful engineering discipline, combining software and systems to develop creative engineering solutions to operations problems. Much of our support and software development focuses on optimizing existing systems, building infrastructure, and reducing work through automation. You will join a team of curious problem solvers with a diverse set of perspectives who are thinking big and taking risks. In this environment, you will take the lead on relevant projects, supported by an organization that provides the support and mentorship you need to learn and grow. As an SRE, you will be focused on running better production applications and systems.
Job 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 minimal refactoring or changes
- Identify application patterns and analytics in support of better service level objectives
- 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 environment 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
- Exposure to AI tools (copilot, claude code,LLM)and their application in SRE workflows for faster delivery and smarter operations
- Emerging knowledge of software applications and technical processes within a technical discipline, specifically building out cloud native solutions (AWS).
- 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