Software Engineer III - Java
JPMorgan Chase
- Location
- GLASGOW, LANARKSHIRE, United Kingdom
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 1,524 approvals (FY2023)
- Posted
- Sep 8, 2026
Skills
About this role
Introductory Marketing Language: Join us to shape the future of payments technology through innovative backend development. You’ll have the opportunity to make a real impact, grow your career, and collaborate with a diverse, inclusive team. We value your expertise and encourage you to bring your ideas to the table. Experience a culture that supports your development and celebrates your contributions. Together, we’re building solutions that empower both our customers and our developers.
Job Summary
As a Java Software Engineer in the Payments Developer Portal team, you will design, develop, and maintain backend services that power our public-facing web portal. You will work closely with product partners and technical teams to deliver customer-facing capabilities and internal enablement. Your contributions will drive business impact, enhance platform security and resiliency, and support developer self-service. You will help foster a culture of diversity, equity, inclusion, and respect while advancing modern engineering practices.
Job Responsibilities
Collaborate with technical teams, product partners, and stakeholders to deliver customer-facing capabilities and internal enablement Design, develop, and maintain secure, high-quality production Java services (APIs and supporting components), reviewing and debugging code Contribute to decisions influencing product design, API design, application functionality, and technical operations Build and integrate services supporting portal experiences such as API discovery, documentation delivery, onboarding flows, entitlements, analytics, and developer self-service Implement and advocate for security best practices, including secure coding, secrets handling, authentication/authorization, and data protection Participate in agile ceremonies and promote modern engineering practices (CI/CD, automated testing, trunk-based development, resiliency patterns) Add to the team culture of diversity, equity, inclusion, and respect Leverage 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 Apply 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: Strong proficiency with modern Java (e.g., Java 11/17+), concurrency fundamentals, and performance-aware coding Experience building services with Spring / Spring Boot, including dependency injection, configuration, and REST services Strong experience designing and implementing RESTful APIs, schema/versioning practices, and contract-first or OpenAPI-driven development Hands-on experience with secure coding and safe data handling Unit/integration testing (e.g., JUnit, Mockito) and ability to build effective automated test coverage Experience interacting with downstream services, troubleshooting integration issues, and designing for resiliency (timeouts, retries, circuit breakers) Practical experience with relational databases and SQL; familiarity with caching patterns is a plus Exposure to agile methodologies, CI/CD pipelines, and production support practices (monitoring, on-call readiness, post-incident reviews) Strong communication skills and ability to collaborate across functions 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 engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security