Full-stack Java and React Software Engineer III

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer II – Java Full Stack Developer (AWS, AI-assisted development) at JPMorgan Chase within the Commercial & Investment Bank , you will 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 be responsible for delivering critical technology solutions across multiple technical areas and business functions in support of the firm’s objectives.

Apply Agile software delivery practices to plan, build, test, and deliver high-quality software. Design, develop, and maintain full-stack applications using Java/Spring Boot for backend services and modern front-end frameworks Build and operate cloud-ready services on AWS using a mix of container-based and serverless patterns (e.g., ECS/EKS and Lambda ), with strong focus on security, resiliency, and observability (IAM fundamentals, logging/metrics/alerting). Execute standard software engineering practices including solution design, development, troubleshooting, testing, and deployment, with consideration for upstream/downstream dependencies. Contribute to engineering excellence through code reviews, automated testing, CI/CD practices, and secure coding standards. Leverage enterprise-authorized AI-assisted development tools to accelerate coding, refactoring, test creation, troubleshooting, and documentation—while validating outputs through peer review, automated tests, performance considerations, and security standards; share reusable patterns and learnings to improve team effectiveness. Required qualifications, capabilities, and skills 3+ years applied experience in software engineering; strong proficiency in Java and Spring Boot . Hands-on front-end experience with HTML, CSS, JavaScript, TypeScript, Python, and React or Angular Practical experience building and deploying applications on AWS in a mixed environment (containers and serverless); operational best practices (monitoring/logging). Experience with SDLC toolchains (Git, build tools, CI/CD pipelines) and automated testing practices; familiarity with application resiliency and security fundamentals. Hands-on experience using enterprise-authorized AI-assisted software development tools (like co-pilot, ChatGPT, Claude Code) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security; understanding of responsible use and data sensitivity. Demonstrate a positive attitude and a continuous-learning mindset —eager to learn new technologies and frameworks, embrace change, and contribute to an innovative and collaborative team culture. Preferred qualifications, capabilities, and skills Bachelor’s degree in computer science/engineering or equivalent experience. Infrastructure-as-Code (Terraform/CloudFormation/CDK), Docker/Kubernetes, and cloud-native development patterns. Familiarity with UX concepts such as responsive design and accessibility. Exposure to microservice architecture