Leads design, development, testing, and maintenance of enterprise-scale payment applications. Builds Java and Spring Boot microservices, REST APIs, GraphQL services, and React micro frontends. Drives secure coding, automated testing, CI/CD, cloud-native development, observability, troubleshooting, architecture, and responsible AI-assisted engineering practices. Collaborates across product, architecture, operations, and engineering teams while ensuring performance, resiliency, scalability, and maintainability.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Design, develop, test, and maintain enterprise-scale web applications and backend services supporting Payments Technology capabilities.
- Deliver modern frontend solutions using React, micro frontend architecture, reusable components, and responsive user interface patterns.
- Build and maintain scalable Java / Spring Boot microservices, REST APIs, GraphQL, and distributed application components.
- 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.
- Produce secure, high-quality production code that meets functional, non-functional, resiliency, performance, and maintainability requirements.
- Contribute to architecture and design artifacts for complex application features, integrations, and platform capabilities.
- Apply engineering best practices across software design, coding standards, test automation, CI/CD, observability, and secure development.
- Troubleshoot and resolve complex technical issues across frontend, backend, integration, cloud, and production environments.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 10+ years of applied software engineering experience.
- Hands-on experience delivering enterprise-scale, production-grade applications in complex technology environments.
- Strong experience with Java, Spring Boot, REST APIs, GraphQL, microservices, and distributed systems.
- Strong frontend engineering experience with React, JavaScript / TypeScript, HTML5, CSS3, and modern frontend tooling such as Vite, Webpack, or equivalent.
- 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 with micro frontend architecture, including modular frontend design, shared components, application integration patterns, and independently maintainable frontend capabilities.
- Practical experience with AWS or similar cloud platforms and cloud-native design patterns.
- Experience with automated testing and quality engineering practices, including tools and frameworks such as JUnit, Playwright, React Testing Library, smoke testing, integration testing, or similar.
- Proficiency in debugging, troubleshooting, root-cause analysis, and performance tuning across frontend and backend systems.
- Strong communication and collaboration skills, with the ability to work effectively across product, architecture, operations, and engineering teams.
Preferred qualifications, capabilities, and skills
- Experience in payments, financial services, or high-volume transaction platforms.
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
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