Lead Software Engineer: Platform & Journey Builder

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



* Build the Identity Onboarding Orchestrator the configurable, policy-aware workflow engine governing the full onboarding journey and enforcing compliance completion requirements before any journey is marked done


* Design configurable journey frameworks that expose the right configuration surface to product teams without forking the underlying implementation


* Design and enforce RBAC LOB as organizational namespace, role boundary definition, and access controls that protect line-of-business separation at the data model level


* Build and maintain event-driven integrations event streaming patterns that decouple journey outcomes from downstream system dependencies and enable regulatory change propagation through a single update


* Own observability across multi-service journey execution distributed tracing, SLO definition, and alerting that reduces mean-time-to-isolate failures from hours to minutes


* Build developer facing SDKs, API documentation, sandbox environments, and integration templates that enable LOB teams to assemble and deploy compliant identity journeys without an engineering dependency


* Support migration to Platformization build migration playbooks and adapter tooling that move product teams off legacy bespoke services in weeks, not quarters


* 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



* Develop workflow orchestration and policy-driven journey engineering


* Experience with event-driven architecture (Kafka or equivalent) event streaming platform, including publishing, consuming, and schema governance


* Build Component libra ry design - reu sable, composable primitives that hold across business...