Software Engineer III: Frontend Developer

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 Consumer and Community Bank, 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.

- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems - Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems - 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 - Contributes to software engineering communities of practice and events that explore new and emerging technologies - 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.

- Formal training or certification on software engineering concepts and 3+ years applied experience - Advanced hands-on experience building front-end applications and reusable component libraries with React and modern JavaScript/TypeScript. - Proficiency in modern front-end development, including component architecture, state management, and responsive, accessible UI implementation. - Strong command of CSS and modern styling approaches, including CSS preprocessors (e.g., Sass/LESS) and CSS-in-JS. - Hands-on experience building accessible components to WCAG standards, applying semantic HTML, ARIA roles, and correct keyboard interaction patterns. - Practical experience using AI-assisted development tools (e.g., coding assistants, agentic/agent-based workflows) to enhance productivity, quality, and delivery speed. - Demonstrated ability to quickly learn, evaluate, and adopt emerging tools and workflows, adapting to a rapidly evolving AI-augmented engineering landscape. - Experience with Agile development methodologies such as SCRUM. - Proficiency in automation and continuous delivery (CD) methods. - Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. - Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

- Experience developing and maintaining design systems, component libraries, or shared UI frameworks. - Familiarity with modern front-end design systems Storybook. - Experience with vanilla-extract or similar type-safe, zero-runtime CSS-in-JS styling libraries. - Hands-on experience authoring AI enablement of assets such as custom instructions, skills, and prompts, or integrating tools via the MCP. - Practical knowledge of web accessibility standards (e.g., WCAG, ARIA) and cross-browser compatibility. - DevOps experience supporting token repositories, build systems, and CI/CD pipelines (e.g., Jenkins or similar tools). - Familiarity with additional programming languages and runtimes such as Python and Node.js.