
at J.P. Morgan
Bulge Bracket Investment BanksPosted 6 days ago
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**Lead Software Engineer - Full Stack (Java, React, AWS)** Experienced engineer sought to lead full-stack development, focusing on AI-first developer portal experiences. Key responsibilities include designing secure external APIs, managing authentication workflows, and establishing engineering standards for AI automation. Hands-on (50%) via critical-path coding, architecture reviews, and debugging. Coaching and cross-functional collaboration essential. Proven experience in software engineering (10+ years), backend development (Java), building and operating distributed systems, and securing external integrations required. AI product expertise, automation, and compliance knowledge preferred. In Chicago, IL.
- Compensation
- Not specified
- City
- Chicago
- Country
- United States
Currency: Not specified
Full Job Description
Location: Chicago, IL, United States
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 firms 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.
- 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.



