Software Engineer III - Front End / React JS

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level at JPMorganChase, where you can help deliver market-leading digital experiences for our customers. This role is based in Columbus, Ohio and supports our Consumer & Community Banking Wealth Management team

Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level at JPMorganChase, where you can help deliver market-leading digital experiences for our customers. This role is based in Columbus, Ohio and supports our Consumer & Community Banking Wealth Management team.

Job Summary
As a Software Engineer III at JPMorganChase within Consumer & Community Banking Wealth Management, 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

• Execute software solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine approaches to build solutions and break down complex problems
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while ensuring design constraints are met through disciplined engineering practices
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems
• Collaborate with user experience and user interface designers and product owners to translate wireframes and requirements into production-ready code
• Rapidly prototype features and concepts to gather user feedback and iterate before full-scale development
• Review and debug code to uphold best practices in quality, accessibility, performance, and maintainability
• Stay current with emerging user interface technologies and industry trends, and champion adoption where they improve outcomes
• Add to a team culture of diversity, opportunity, inclusion, and respect
• Leverage 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; 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Deep expertise in React, TypeScript, JavaScript (ES6+), HTML5, and CSS3
• Knowledge of GraphQL for Adobe Experience Manager (AEM) content fragments and headless delivery
• Understanding of RESTful APIs and web services
• Testing expertise with Jest, React Testing Library, and Cypress or Playwright
• Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile delivery practices, including continuous integration and continuous delivery, application resiliency, and security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)
• 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

• Exposure to cloud platforms such as Amazon Web Services (AWS)
• Familiarity with microservices architecture
• Experience with AI-driven development tools such as GitHub Copilot, Windsurfer, or similar platforms