Lead Software Engineering- Java/Python

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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 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
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Represents the firm's engineering externally through public repositories, technical writing, and conference contribution

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Demonstrated experience maintaining public open-source repositories, including triaging external issues and contributions, managing releases, and holding a public quality and security bar
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience publishing to public package managers (Maven Central, npm, PyPI, CocoaPods/SPM) and operating the governance and IP review that sits in front of it
• Familiarity with agent tooling standards such as MCP, and with packaging capability for consumption by AI coding assistants
• Experience with payments APIs and merchant or developer integration journeys
• Track record of external technical communication: blogs, documentation, talks, or workshops
• Experience automating compliance and security gates in CI so that the control is the default path rather than a manual step