Software Engineer III (Java)

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Payments Technology division, 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 Executes standard software solution, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance 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. Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications 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 Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Demonstrated ability to code in Java, Spring Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity. Ability to use AI coding assistants, prompting, skills, MCPs. Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data handling requirements. Awareness of tokens/context windows and how LLMs work. Ability to work in large, collaborative teams to achieve organizational goals, with a passion to build an inclusive and innovative culture Understanding of software skills such as business analysis, development, maintenance, and software improvement Proficiency in developmental toolsets Object-oriented design & basic design principles - encapsulation, interfaces, SOLID awareness, simple patterns Version control (Git) - branching, pull requests, rebasing/merging, resolving conflicts. Preferred qualifications, capabilities, and skills Exposure to cloud technologies Containers basics — Docker fundamentals, images vs containers. CI/CD basics — what pipelines do, how to debug Observability basics — logging, metrics HTTP & REST fundamentals – JSON, status codes, auth basics, pagination, idempotency Proficiency in database skills - SQL basics (joins, indexes at a high level), ORMs, data modeling fundamentals AWS DBs a plus (Aurora/RDS) Security basics — input validation, secrets handling, least privilege, common vulnerabilities. OWASP awareness is a plus