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
