Lead Software Engineer, Platform & Experience Journeys

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 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 build reusable identity sub-journey components to support onboarding processes for multiple lines of business


* Build the automation layer that moves configured identity journeys from approval to production deployment, including policy validation, release controls, and complete audit-trail generation.


* Establish the eventing framework and observability standards that make multi-service journey execution visible, debuggable, and compliant


* Build developer-facing tools, including API contracts, sandbox environments, and integration templates, that enable line-of-business teams to assemble and deploy compliant identity journeys without an engineering dependency.


* Mentor and grow the engineers building alongside you by setting engineering standards, leading rigorous code reviews, and upskilling the team as needed.


* Build migration tooling and playbooks that move product teams off legacy bespoke implementations to platform services


* Drive responsible adoption of AI-assisted engineering practices, including code review, test acceleration, and incident analysis, with clear team standards for validating AI outputs for correctness, performance, and security.


* 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.


* Experience designing and engineering workflow orchestration for policy-driven customer journeys and reusable sub-journey components.


* Experience designing or operating event-driven architectures using Kafka or equivalent messaging platforms.


* Hands-on full-stack engineering experience bui...