Lead Software Engineering- Java/Python

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 at JPMorganChase within the Commercial & Investment Bank, Payments Technology, you are an integral part of an AI-first team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role you own our public open-source presence on github.com/JPMorgan-payments, the shopfront external developers clone from and integrate against, where our published agent skills have taken merchant time-to-first-integration from months to minutes.
Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Develops secure and high-quality production code, and reviews and debugs code written by others
Maintains the public JPMorgan-payments GitHub organization to a continuous zero-findings standard, owning repo hygiene, ownership, licensing, CI, dependency currency, and release quality on code that external developers consume directly
Maintains and evolves our flagship public repositories, including the agent skills and MCP server that let external developers drive JPMorgan Payments capabilities from their own AI tooling
Builds the paved road for external SDK and library publication under Open Source Governance, taking pilot products from internal repository to public package manager, and hardening each step into a repeatable default that satisfies outbound contribution controls
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 c