Fullstack Software Engineer III - JAVA, Springboot, React, AI

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 III at JPMorgan Chase 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.

Job responsibilities

• 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, including enterprise-authorized AI-assisted development and automation capabilities, 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 3+ 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 prompts/patterns and lightweight governance.