Sr Lead Software Engineer - 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 on the Engineering Services & Platforms (ESP) team within the 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.

The work sits at the intersection of software engineering, enterprise risk, controls, operational resilience, and large-scale technology transformation.

As a part of the Engineering Services and Platforms (ESP) team your mission is to...

improve SDLC cycle time, delivery consistency, software quality and developer satisfaction by leveraging AI across SDLC tasks, standardizing reusable frameworks, and delivering a unified, end-to-end developer experience across SDLC products, tools and platforms.

Job responsibilities


* Provide technical leadership across frontend, backend, API, database, and AI integration workstreams.


* Develops secure and high-quality production code, and reviews and debugs code written by others


* Build mission-critical technology platforms in complex, highly regulated environments..

Maintain platforms that support critical software delivery and production-release processes across large enterprises.


* Build reliable systems and creating engineering ecosystems that are secure, scalable, measurable, auditable, and resilient.


* Strengthen TRC frameworks by translating policy and regulatory expectations into practical engineering capabilities.


* Modernize SDLC controls, improving the quality and integrity of control evidence, automating risk detection and remediation, strengthening software supply-chain governance, and embedding compliance directly into developer workflows


* 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


* Actively contributes to the engineering community as an advo...