Lead design and development of scalable Java backend services and full-stack applications using Spring Boot, microservices, REST APIs, and Oracle/MySQL. Optimize data access, ensure resilient and observable delivery through testing and CI/CD, provide production support, and conduct root-cause analysis. Mentor engineers, establish development standards, collaborate cross-functionally, and apply enterprise-authorized AI-assisted development tools responsibly and securely.
Join us to drive impactful technology solutions and advance your career as part of a collaborative, agile team. Experience the adventure of pushing the limits of innovation.
As a Software Engineer III at JPMorgan Chase within the Chief technology office team, you will lead the design and development of modern, scalable solutions using Java, Spring Boot, microservices, and Oracle/MySQL databases, along with full-stack UI technologies. You will combine hands-on engineering with technical leadership, mentoring, and cross-functional collaboration. You will help shape technical direction and ensure high-quality delivery across the software development lifecycle.
Job responsibilities
- Lead the design and development of backend services and full-stack applications using Java, Spring Boot, and modern UI technologies
- Build and maintain microservices with strong API design, resiliency patterns, performance, and operational readiness
- Develop and consume RESTful APIs and integrate securely with upstream and downstream systems
- Design, implement, and optimize data access patterns for Oracle and/or MySQL, including schema design, query optimization, and transactions
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Ensure engineering excellence through code reviews, automated testing, CI/CD pipelines, and observability practices
- Provide technical leadership through mentoring, coaching, and setting development standards and best practices
- Collaborate with product, UX/design, QA, and operations to deliver outcomes end-to-end
- Participate in production support/on-call as needed and lead root-cause analysis and remediation
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong hands-on development experience with Java and the Spring Boot ecosystem
- Experience working with Oracle and/or MySQL, including SQL, performance tuning, transactional consistency, and data modeling
- Experience with software design patterns, API design, and delivering scalable, maintainable solutions
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Demonstrated leadership skills including mentoring, technical ownership, and stakeholder communication
Preferred qualifications, capabilities and skills
- AWS experience with cloud services, deployment patterns, and security basics
- Full-stack development experience with JavaScript and modern UI technologies (HTML5, CSS3, responsive UI, modern tooling)
- Kubernetes experience with container orchestration, deployments, and troubleshooting
- React.js experience with component-based UI development
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