Lead Software Engineer - Full Stack - Java, React, AWS

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 JPMorganChase within the Commercial & Investment Banking - Payments team, 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.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities



* Lead the creation of an AI-first Developer Portal experience: define architecture patterns for agent-ready workflows, tool/action schemas, context assembly, and safe execution.


* Build and operate AI-enabled support experiences (assistant + workflow automation) with contextual understanding of client/workspace state, integration progress, and troubleshooting signals.


* Design and deliver secure external API platform capabilities: contract-first API design (OpenAPI), versioning strategy, backward compatibility, idempotency, pagination, consistent error models, and developer usability.


* 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.


* Own authentication and credential workflows for external integrations, including patterns for certificate handling, credential rotation, and secure onboarding journeys.


* Establish engineering standards for AI + automation in production: evaluation and test strategy, release gating, telemetry, audit logging, and incident response for AI/tooling systems.


* Remain hands-on (~50%) through critical-path coding, architecture reviews, code reviews, debugging, and performance/resiliency improvements.


* Drive cross-functional, federated delivery by partnering with API owners, security, and shared services to deliver a unified client experience despite distributed backend ownership.


* Coach and develop engineers: set expectations for quality, delivery discipline, design rigor, and collaboration; actively grow technical talent and leadership bench.

Required qualifications, capabilities, and skills


* Formal training or certification in software engineering concepts and 8+ years applied experience; demonstrated coaching/mentoring experience.


* Hands on s...