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As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology 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 an emerging senior member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. You will build AI-native solutions —embedding AI coding tools, agentic workflows, and LLM capabilities into every layer of the platform. We are seeking an experienced Java Distributed Systems Engineer to design, build, cloud-native backend systems.
Job responsibilities
- Own end-to-end delivery of complex backend components, embedding AI-native capabilities (agentic workflows, LLM-powered features) into core product experiences.
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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.
- Participate actively in design reviews and architecture discussions
- Identify performance bottlenecks and propose optimizations
- Mentor junior engineers through code reviews and technical guidance
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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Experience in designing and developing distributed systems using Java
- Strong knowledge in Core Java (Java 21+), Spring Boot, React, REST, Kafka, Microservices, Agile, DevOps
- Hands-on practical experience using AI coding assistants (GitHub Copilot, Cursor, Claude, etc.).
- Experience in object oriented analysis and design (OOAD)
- Experience working with cloud platforms such as AWS
- Experience on asynchronous communication using messaging/streaming systems (Kafka, RabbitMQ, or equivalents)
- Ability to design and optimize data models either in relational or NoSQL databases
- Ability to handle data consistency, replication, sharing, and transactional boundaries
- 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
Preferred qualifications, capabilities, and skills
- Advanced knowledge of application, data, and infrastructure architecture disciplines
- Strong written and oral communication and excellent presentation and influencing skills
- Familiarity with modern front-end technologies
- Practical cloud native experience
- Knowledge on integration with CI/CD pipelines for automated build, test, and deployment
- Familiar with containerization and orchestration tools: Docker, Kubernetes
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Designing and developing distributed systems using Java
- Core Java (Java 21+)
- Spring Boot
- React
- REST APIs
- Kafka or equivalent streaming systems
- Experience with AI coding assistants (GitHub Copilot, Cursor, Claude, etc.)
- Object oriented analysis and design (OOAD)
- Experience working with cloud platforms such as AWS
- Asynchronous communication using messaging/streaming systems (Kafka, RabbitMQ, or equivalents)
- Design and optimize data models in relational or NoSQL databases
- Handle data consistency, replication, sharing, and transactional boundaries
- Demonstrated experience leading approved AI-assisted software development tools and setting validation expectations
- Strong understanding of responsible AI use, data sensitivity, security, and coaching engineers on safe adoption
- Advanced knowledge of application, data, and infrastructure architecture disciplines
- Strong written and oral communication and presentation skills
- Familiarity with modern front-end technologies
- Practical cloud native experience
- Knowledge of CI/CD pipeline integration for automated build, test, and deployment
- Familiarity with containerization and orchestration tools: Docker, Kubernetes
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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