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Java Full Stack Software Engineer III - React / PostgreSQL

JPMorgan Chase

Tampa, FL, United StatesMidH-1B sponsor company
Sign in to applyVerified 1h ago
Location
Tampa, FL, United States
Work model
On-Site
Level
Mid
H-1B history
1,524 approvals (FY2023)
Posted
1d ago

Skills

AgileJavaJavaScriptPostgreSQLRESTReactSpring

About this role

Your next opportunity to build technology that truly matters starts here. At JPMorganChase, you will join a team of talented engineers working on deposit platforms that serve some of the world's largest corporations and financial institutions — where the quality of your code has a direct and meaningful impact on clients and the business. As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Deposit Technology team, 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 that support global deposit operations. You will develop robust Java backend services, build and optimize data solutions across Oracle and PostgreSQL databases, and deliver modern front-end experiences that support both client-facing and internal operational needs. This is a strong opportunity to deepen your full-stack engineering expertise, embrace AI-assisted development practices, and grow your career within a world-class technology organization.

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 deposit technology platforms Develop and maintain scalable backend services and REST APIs using Java and Spring Boot, ensuring high availability, performance, and maintainability across the deposit technology ecosystem Design, build, and optimize data solutions across Oracle and PostgreSQL databases, including data modeling, schema design, and high-performance query development Build and enhance responsive, user-facing web applications using modern front-end frameworks, delivering intuitive and accessible experiences for clients and internal stakeholders 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 architecture Contribute to a team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficiency in Java backend development using Spring Boot, including REST API design and microservices architecture patterns in a large corporate environment Hands-on experience designing, querying, and optimizing relational databases using Oracle and PostgreSQL, including data modeling, schema management, and query performance tuning Demonstrated experience building and maintaining full-stack applications, including front-end development using React or a comparable modern JavaScript framework Hands-on experience using enterprise-authorized AI-assisted software development tools (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