Software Engineer III - Full Stack React/Java - Risk Frameworks

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 Risk Technology, you are a seasoned member of an agile team focused on designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You bring technical depth across the full stack — from modern React and TypeScript frontends to Java and Spring Boot backend services — and you thrive in an environment where your contributions directly support the firm's risk management objectives. This is your opportunity to grow alongside talented engineers, influence technical direction, and make a meaningful impact at one of the world's leading financial institutions. Job responsibilities Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex problems and build scalable solutions Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout the software development lifecycle Build and maintain full-stack features in close partnership with product and design teams to deliver high-quality, accessible user experiences Develop modern web interfaces using React and TypeScript, leveraging reusable components and patterns aligned to established design systems Ensure user interface implementations follow accessibility best practices, including keyboard navigation, semantic markup, and assistive technology support Design and implement backend services and APIs using Java and Spring Boot, including integration with data stores and downstream systems Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that drive continuous improvement of software applications Proactively identify hidden problems and patterns in data, using insights to improve coding hygiene and system architecture Contribute 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 (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards 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 Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient applied experience Hands-on practical experience in system design, Frontend application development, testing, and operational stability Proficient in coding in one or more languages, with demonstrated strength in Java and building services with Spring Boot or equivalent frameworks Strong experience building frontend applications with React and TypeScript Experience working with design systems and component libraries, applying consistent user interface standards at scale Working knowledge of web accessibility principles and implementing accessible user interface patterns Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages Solid understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs 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 Familiarity with modern frontend technologies, including state management patterns, build tooling, and testing frameworks Experience with API design and integration patterns, including REST; exposure to event-driven architectures is a plus Exposure to cloud technologies and cloud-native development practices Experience building automated tests across the stack, including unit, integration, and user interface testing