Java Fullstack Software Engineer III - Kubernetes / React

At JPMorganChase, we build technology that powers some of the most complex and consequential financial operations in the world - and we are looking for engineers who are ready to grow with us.

Join a team where your full-stack expertise shapes the platforms that support management and operational functions across the Commercial & Investment Bank, and where your career development is just as important as the products you deliver.

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Management and Support Functions Technology team in Tampa, FL, you will serve as a seasoned member of an agile engineering team responsible for designing and delivering secure, scalable, and reliable full-stack software solutions.

You will build robust Java backend services alongside modern React front-end interfaces, deploy and manage containerized workloads on Kubernetes, and collaborate with cross-functional partners to deliver technology that supports critical business operations at scale.

This is an opportunity to deepen your technical craft, embrace AI-assisted development practices, and contribute to a culture of inclusion, innovation, and continuous improvement.

Job Responsibilities


* Execute software solutions across design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions and break down complex technical problems


* Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems across management and support function platforms


* Develop and maintain scalable backend services and REST APIs using Java and Spring Boot, ensuring high availability, performance, and maintainability in a large corporate environment


* Build and enhance responsive, user-facing web applications using React, delivering intuitive and accessible experiences for internal and external stakeholders


* Deploy, manage, and monitor containerized applications using Kubernetes, ensuring platform reliability, scalability, and operational stability across environments


* Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity - including code generation, refactoring, unit test creation, and documentation - while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness


* Apply 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


* Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code development


* Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system...