Software Engineer III (Java Full Stack)

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Java Software Engineer III to join an agile team that designs and delivers trusted market-leading technology products in a secure, scalable way.

You will help produce production-ready code and contribute to architecture across business functions in a large corporate environment. You will apply enterprise AI-assisted development tools, participate in peer code reviews, and ensure secure coding practices while driving continuous improvement and

Qualifications

• 3+ years of hands-on software development experience.
• Proficient in Java and Spring Boot.
• Experience with AI-assisted development tools and secure coding practices.

Responsibilities

• Design, implement, and troubleshoot secure software solutions.
• Produce production-ready code and maintenance of algorithms.
• Leverage AI coding aids to improve quality and speed, with peer review.
• Create architecture and design artifacts for complex applications.
• Gather and analyze data to inform software improvements.

Skills

Java

Spring Boot

JavaScript

React

CI/CD

Agile

Security

Unit testing

Education

Software engineering degree

Tools

AI coding tools

Code review tools

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Java Software Engineer III at JPMorganChase within the Commercial & Investment Bank Unit, 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

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
• Enterprise-level experience programming in Java, Spring Boot, JavaScript, React.JS
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies