Lead Software Engineer, Platform & Experience Journeys

Company: JPMC

Location: New York, NY, United States

Type: Full-time

Posted: 2026-08-08

About this role

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 o...

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