Lead Software Engineer- Python, Java

We offer an exciting opportunity to advance your career and challenge the boundaries of what’s possible.

As a Lead Software Engineer at JPMorgan Chase within Open Source Governance in Engineering Platforms and Experience team, you will be a key member of a team responsible for designing and building the tools and platforms that enable our developers and broader teams to consume and contribute to open source. You will be passionate about creating world-class developer experiences for your peers.

Job Responsibilities

Build tools and platforms that empower developers to evaluate and select open source packages, incorporate them as dependencies, and contribute patches and features back to the open source projects used at the firm.

Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to solve complex technical problems.

Develop secure, high-quality production code, and review and debug code written by others.

Lead the development of reporting, analytics, open source metadata, and outbound contribution tools.

Identify opportunities to eliminate or automate remediation of recurring issues, improving the operational stability of software applications and systems.

Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and suitability for integration within existing systems and information architecture.

Lead communities of practice across Software Engineering to promote awareness and adoption of new and emerging technologies related to open source and tooling for consumption and contribution.

Required Qualifications, Capabilities, and Skills

Formal training or certification in software and / or engineering concepts, with 5+ years of applied experience.

Advanced proficiency in one or more programming languages; strong Python and / or Java skills required, preferably both.

Demonstrated expertise in open source concepts and practices, with an “open source first” approach to building tools and platforms.

Advanced knowledge of git and associated platforms such as GitHub.

Advanced understanding of agile methodologies, including CI / CD, application resiliency, and security.

Hands-on experience in system design, application development, testing, and ensuring operational stability.

Experience with data engineering concepts, including processing various datasets to develop insights and inform decisions about open source usage and contributions.

Preferred Qualifications, Capabilities, and Skills

Experience with data visualizations to provide actionable intelligence on open source consumption, foundation sponsorship investments, contributions to open source, and the overall open source ecosystem.

Comfortable working directly with developers to understand their needs, particularly regarding developer ergonomics.

Proficiency with Python libraries such as Jupyter, pandas, numpy, and Pydantic; familiarity with functional programming and type systems.

Familiarity with microservices architectures.

Experience working with or around AI / ML technologies; understanding of topics at the intersection of GenAI and open source is a plus.

In-depth knowledge of the financial services industry and its IT systems.

Active involvement in open source communities and / or contributions to open source projects.