Software Engineer III - Full stack Java

Shape the future of enterprise technology — join a team where your full stack expertise drives real impact across one of the world's most complex financial institutions.

As a Software Engineer III at JPMorgan

Chase within Corporate Technology, you will apply proficient full stack engineering skills to design, build, and evolve modern, resilient applications that support controls and operational risk outcomes across critical corporate functions — including Finance, Risk Management, Human Resources, Compliance, and Legal. You will contribute to architecture and design discussions, translate requirements into robust technical solutions, and ensure implementations meet the performance, security, and scalability demands of a large, regulated financial institution.

Your work will directly strengthen the firm's technology controls agenda and support the delivery of scalable corporate systems that matter.

Job responsibilities

Design and deliver full stack applications using Java (8+), Spring Boot microservices, and Angular (6+), ensuring solutions are resilient, secure, and aligned to enterprise architecture standards

Build and evolve well-designed REST APIs, applying strong microservices patterns, core design principles, and pragmatic tradeoffs appropriate for regulated enterprise environments

Write clean, testable, and maintainable code with a disciplined approach to quality, including automated testing and active participation in peer code reviews and collaborative design sessions

Support and improve CI/CD pipelines, branching strategies, and release discipline to enable frequent, safe deployments in a controlled environment

Troubleshoot and resolve production issues through structured root-cause analysis, implementing preventative fixes that improve system stability and reduce operational risk Collaborate with product owners, UX designers, and cross-functional engineering partners to shape solutions that are usable, accessible, and scalable

Contribute to shared standards, reusable templates, and common components that improve consistency and accelerate delivery across the team Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards

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 proficient applied experience

Hands-on experience building full stack applications using Java (8+) and Angular (6+), with practical experience delivering Spring / Spring Boot microservices and well-designed REST APIsProficiency in Type Script, HTML, CSS, and JavaScript with strong attention to UX detail and quality

Demonstrated ability to write clean, testable code supported by automated testing practices, with active participation in code reviews and collaborative design sessions

Understanding of microservices patterns, core design principles, and common design patterns, with a pragmatic approach to tradeoffs in enterprise environments

Working proficiency with modern Software Development Life Cycle toolsets and practices, including CI/CD, branching and versioning strategy, and release discipline suitable for regulated environments

Awareness of secure coding practices, API security considerations, access control concepts, and resilience expectations in enterprise environments

Clear communication and collaboration skills, with demonstrated ability to work effectively with distributed teams and diverse stakeholders

Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs

Understanding of responsible AI use in…