Software Engineer III - Java Fullstack, React, AWS, Microservices

Job Description 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 Auto Finance 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. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems 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 Full-Stack Feature Delivery: Design, build, and deploy high-performance web applications using React for the front end and Java for the back end. API & Microservices Architecture: Design, build, and maintain secure, scalable RESTful or GraphQL APIs and microservices in Java Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Front-End Mastery: Extensive experience with React.js, TypeScript/JavaScript, HTML5, CSS3, and modern frontend build tools. Back-End Expertise: Robust background in Java, including framework proficiency with Spring Boot, Spring Security, and Hibernate AI & Engineering Acumen: Proven experience connecting applications to AI APIs, prompt engineering, fine-tuning, or working with orchestration frameworks Data Systems: Experience designing schemas for both traditional relational SQL/NoSQL databases and vector search indexing. Soft Skills & Collaboration: Agile/Scrum/Kanban team experience, Git version control expertise, and a passion for staying on the cutting edge of AI advancements Understanding of application resiliency. Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) 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. Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to Python Show more Show less