Software Engineer II - Agentic AI Automation and AI Technologies

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank - Digital Platform teams, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Executes standard software solutions, 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 to improve the value realized by automation Applies technical troubleshooting to break down 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 2+ years applied experience Proficiency in Java and building APIs/services using Spring Boot . Proficiency in building modern UIs using React and TypeScript . Working knowledge of SQL and relational database concepts; ability to write and optimize queries. Hands-on experience across the software development lifecycle including design, development, code review, testing, deployment, and production support. Hands-on experience with system design , application development, testing practices, and operational stability (monitoring, incident response, root cause analysis). Experience developing, debugging, and maintaining code in a large-scale / enterprise environment using modern programming languages and database querying languages. Exposure to Agile delivery practices and engineering disciplines such as CI/CD , resiliency, and secure software development practices. Hands-on experience using AI-assisted developer tools in day-to-day engineering workflows (e.g., code generation, refactoring, test creation), with ability to apply them responsibly. Hands-on exposure to agentic AI workflows and related patterns/tools (e.g., AI assistants, agent frameworks), including ability to automate development tasks using tool integrations (e.g., MCP servers or similar tool-connection patterns). Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations. Preferred qualifications, capabilities, and skills Full-stack experience spanning front-end and back-end development, including API design and UI integration. Exposure to cloud platforms and cloud-native concepts (e.g., containerization, managed services, infrastructure-as-code). Experience improving developer productivity using AI-enabled tooling (e.g., GitHub Copilot, Claude Code or similar), including establishing