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

JPMorgan Chase JPMorgan Chase · Banking · Chicago, IL +1 · Commercial & Investment Bank

Lead Software Engineer focused on building an AI-first Developer Portal and AI-enabled support experiences within a financial services context. The role involves defining architecture for agent-ready workflows, building and operating AI-enabled support, designing secure external API platforms, and establishing engineering standards for AI/automation in production. Requires significant hands-on backend development (Java preferred) and experience with external-facing APIs, security fundamentals, and building AI-enabled product capabilities in production.

What you'd actually do

  1. 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.
  2. Build and operate AI-enabled support experiences (assistant + workflow automation) with contextual understanding of client/workspace state, integration progress, and troubleshooting signals.
  3. 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.
  4. Own authentication and credential workflows for external integrations, including patterns for certificate handling, credential rotation, and secure onboarding journeys.
  5. Establish engineering standards for AI + automation in production: evaluation and test strategy, release gating, telemetry, audit logging, and incident response for AI/tooling systems.

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • AI-first Developer Portal experience
  • AI-enabled support experiences
  • external-facing APIs
  • AI-enabled product capabilities in production

Other signals

  • AI-first Developer Portal experience
  • AI-enabled support experiences
  • Establish engineering standards for AI + automation in production