Software Engineer III - Full Stack

As a Software Engineer III at JPMorganChase within the Corporate Sector, 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 will develop end-to-end AI-enabled products; own features across backend and frontend, deploy to cloud infrastructure, and integrate LLM/agent capabilities into production systems.

The role values practical delivery, strong fundamentals, and clear collaboration.

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Design and build clean, testable Python services and APIs; optimize for reliability and performance. Build maintainable UIs using React and modern JavaScript/TypeScript. Integrate LLM APIs and/or agent frameworks into real workflows and user experiences. Develop cloud-native systems using containers, microservices, and AWS (preferred).
• Work with PostgreSQL/Aurora: schema design, querying, and state/session management patterns. Write tests, debug issues, review code, and ship iteratively in a fast-paced environment.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Required qualifications, capabilities, and skills
• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong Python (clean architecture, testing, performance awareness), Solid React + modern JavaScript/TypeScript for functional, maintainable UIs. Cloud-native development experience: containers + APIs/microservices + at least one major cloud (AWS preferred).