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 software engineering experience building and operating distributed systems at scale.
- Experience leading software engineering teams and delivering complex platforms/products with measurable outcomes
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
- Strong hands-on backend development experience and hands on experience coding in Java strongly 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.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering and 8+ years applied experience
- Hands-on experience building and operating distributed systems at scale
- Experience leading software engineering teams and delivering complex platforms/products
- Demonstrated experience leading approved AI-assisted software development tools and validating AI outputs
- Strong understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resilient AI practices
- Strong hands-on backend development experience, coding in Java (or comparable modern backend stacks)
- Proven expertise building external-facing APIs and integration platforms (contract-first/OpenAPI, versioning, lifecycle management)
- Security fundamentals for external integrations: OAuth2/OIDC, mTLS, PKI/certificates, secrets management
- Experience building AI-enabled product capabilities in production (grounded retrieval, structured tool/action execution, guardrails, monitoring, auditability)
- Proficient in automation and continuous delivery methods; advanced understanding of agile and modern SDLC practices
- Strong understanding of application resiliency, observability (logs/metrics/traces), performance engineering, and incident management
- Experience defining architecture patterns for agent-ready workflows, tool/action schemas, context assembly, and safe execution
- Experience owning authentication and credential workflows for external integrations, including credential rotation and secure onboarding
- Experience driving team adoption of AI-assisted engineering practices and establishing validation standards (secure coding, peer review, automated testing)
- Experience working in regulated environments with strong controls, compliance, and reliability expectations
- Developer portal or developer-experience platform experience (onboarding journeys, documentation-as-product, sandbox/test experiences)
- Experience building workflow/orchestration systems (state machines, async processing, retries, compensating actions)
- Search and relevance experience (enterprise search, ranking, contextual retrieval)
- Cloud-native delivery experience (containers/Kubernetes) and event-driven architectures
- Prior payments, treasury, or broader financial-services platform experience
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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