Lead Software Engineer: Identity & Trust

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 JPMorgan Chase within the Consumer & Community Banking's Customer Identity Platform team, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading identity and onboarding solutions in a secure, stable, and scalable way.

You will play a key role in designing and delivering a shared identity platform that supports customer onboarding, identity verification, and trust services across multiple products and lines of business.

Job responsibilities


* Design and deliver secure, scalable software solutions that support customer identity, onboarding, and trust services across platforms


* Develop and maintain a canonical customer identity model to enable consistent identity representation across systems


* Build and manage services that support the end-to-end identity lifecycle, including enrollment, verification, remediation, and offboarding


* Integrate identity proofing and verification vendors through abstracted APIs to enable flexible and scalable onboarding capabilities


* Develop and refine trust and risk signal services that support fraud detection and identity assurance decisions


* Design and implement event-driven architectures and APIs that enable seamless interoperability across distributed systems


* Partner with product, risk, and technology teams to translate regulatory and business requirements into scalable technical solutions


* Ensure continuity of identity experience across digital and assisted channels (e.g., web, mobile, branch, call center)


* Identify opportunities to improve platform performance, scalability, and reliability through automation and engineering best practices


* 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.

Required qualifications, capabilities and skills


* Formal training or certification on software engineering concepts and 5+ years of applied experience


* Hands-on experience designing and building scalable, distributed systems and APIs in a cloud-based environment


* Experience developing identity, authentication, or customer onboarding systems


* Strong understanding of event-driven architecture and messaging frameworks (e.g., Kafka)


* Experi...