Senior Lead Software Engineer - AI Development | Engineering Services & Platforms

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within Chief Technology Office (CTO), you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

As the Senior Lead Software Engineer you will work on a rare greenfield opportunity to solve for one of the fastest-growing threats in enterprise technology - Software Dependency Risk.

As AI-assisted development accelerates the adoption of open-source and commercial packages across the firm, understanding what software your applications depend on - and whether it's healthy, secure, and compliant - has never been more critical.

JPMorgan Chase's answer to that challenge: a firm-wide platform that gives 60,000 developers and their engineering leaders visibility into the dependency health of 6,000+ applications.

We are past ideation and into the market - an early product in hand, the roadmap ahead, and a mandate to build something that becomes foundational infrastructure for how the firm manages software risk at scale.

Job Responsibilities


* Take ownership end-to-end - from design through deployment and production support


* Build and scale core platform capabilities: data ingestion pipelines, dependency analysis services, and developer-facing product features


* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Write production-quality Java on AWS - services, APIs, data pipelines, and the infrastructure that ties them together.


* Use AI and agentic development tools to develop secure and high-quality production code, and reviews and debugs code written by others


* Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.


* Drives decisions that influence the product design, application functionality, and technical operations and processes


* Serves as a function-wide subject matter expert in one or more areas of f...