As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, Securities Services Technology, 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
- Leverages AI coding tools (Cursor, Claude Code, Copilot, n8n) to accelerate delivery while maintaining deep knowledge of databases, authentication, CI/CD pipelines, cloud infrastructure, and system architecture.
- 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.
You'll design and deliver trusted technology products in a secure, stable, and scalable way. You'll collaborate with data scientists, product managers, and business owners to solve real problems, making architectural decisions and leveraging AI tools for rapid execution.
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Experience in building production software systems across the full stack
- Deep understanding of system architecture: databases (relational/NoSQL), authentication/authorization, API design, cloud infrastructure (AWS/Azure), containerization, CI/CD pipelines
- Hands-on experience with AI coding tools (Cursor, Claude Code, Copilot, or similar) - you know when they accelerate work and when human judgment is critical
- Proficiency in modern languages and frameworks (we use Java/Spring Boot, React/Angular, but care more about your ability to learn and deliver)
- Experience evaluating and integrating AI/LLM capabilities into applications
- Strong judgment about trade-offs: when to code vs. use low-code/orchestration tools, when to optimize vs. ship
- Understanding of agile methodologies, application resiliency, and security practices
- Ability to communicate technical decisions clearly to both technical and business stakeholders
- 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
- Experience architecting solutions where AI tools handle implementation while you focus on business logic and edge cases
- Track record of rapid prototyping and iteration in ambiguous problem spaces
- Knowledge of orchestration and automation platforms (n8n, Zapier, or similar)
- Experience building with LLMs as development partners, not just API integrations
Skills Required
- Formal training or certification in software engineering and 5+ years applied experience.
- Experience building production software systems across the full stack.
- Deep understanding of system architecture including relational and NoSQL databases, authentication/authorization, API design, cloud infrastructure (AWS/Azure), containerization, and CI/CD pipelines.
- Hands-on experience with AI coding tools (Cursor, Claude Code, Copilot, or similar).
- Proficiency in modern languages and frameworks (Java, Spring Boot, React, Angular).
- Experience evaluating and integrating AI/LLM capabilities into applications.
- Strong judgment about trade-offs (when to code vs. low-code/orchestration, when to optimize vs. ship).
- Understanding of agile methodologies, application resiliency, and security practices.
- Ability to communicate technical decisions clearly to technical and business stakeholders.
- Demonstrated experience leading effective use of approved AI-assisted software development tools and establishing validation standards.
- Strong understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and coaching teams on safe adoption.
- Experience architecting solutions where AI tools handle implementation while focusing on business logic and edge cases.
- Track record of rapid prototyping and iteration in ambiguous problem spaces.
- Knowledge of orchestration and automation platforms (n8n, Zapier, or similar).
- Experience building with LLMs as development partners, not just API integrations.
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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