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

Chicago, ILFull-timePosted Jul 28, 2026

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 [insert LOB or sub LOB], 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.
  • 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 10+ years applied experience; demonstrated coaching/mentoring experience.
  • Hans on software engineering experience building and operating distributed systems at scale.
  • Experience leading software engineering teams and delivering complex platforms/products with measurable outcomes.
  • Strong hands-on backend development experience (Java strongly preferred; other modern backend stacks acceptable).
  • Proven expertise building external-facing APIs and integration platforms, including contract-first design, lifecycle/version management, security controls, and operational readiness.
  • Strong security fundamentals for external integrations: OAuth2/OIDC concepts, mTLS, PKI/certificates, secrets management, secure SDLC, and threat modeling.
  • Experience building AI-enabled product capabilities in production (beyond simple chat): grounded retrieval/search, structured tool/action execution, guardrails, evaluation practices, monitoring, and auditability.
  • Proficient in automation and continuous delivery methods; advanced understanding of agile and modern SDLC practices.
  • Strong understanding of application resiliency and observability (logs/metrics/traces), performance engineering, and incident management.
  • Experience working in regulated environments with strong controls, compliance requirements, and reliability expectations.

     

Preferred qualifications, capabilities, and skills
  • Developer portal or developer-experience platform experience (onboarding journeys, documentation-as-a-product, integration tooling, sandbox/test experiences).
  • Experience building workflow/orchestration systems (state machines, async processing, retries, compensating actions).
  • Search and relevance experience (enterprise search, ranking, contextual retrieval, content quality signals).
  • Cloud-native delivery experience (containers/Kubernetes) and event-driven architectures (webhooks/callbacks/streams).
  • Prior payments, treasury, or broader financial-services platform experience.

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