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Salary
$98k – $240k per year (Estimated)
Location
In office (New York)
Seniority
Middle
Overview
Company
Impact
Profile match
JPMorgan Chase & Co. is a leading global financial services firm and the largest banking institution in the United States by assets. Headquartered in New York City, the company offers a comprehensive range of financial solutions, including investment banking, asset management, treasury services, and commercial banking. Through its widely recognized consumer division, Chase, it delivers retail banking, credit card, and mortgage services to tens of millions of households across the globe.

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

As a Software Engineer III at JPMorganChase within the Consumer and Community Bank, 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 break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • 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
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • 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.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Advanced hands-on experience building front-end applications and reusable component libraries with React and modern JavaScript/TypeScript.
  • Proficiency in modern front-end development, including component architecture, state management, and responsive, accessible UI implementation.
  • Strong command of CSS and modern styling approaches, including CSS preprocessors (e.g., Sass/LESS) and CSS-in-JS.
  • Hands-on experience building accessible components to WCAG standards, applying semantic HTML, ARIA roles, and correct keyboard interaction patterns.
  • Practical experience using AI-assisted development tools (e.g., coding assistants, agentic/agent-based workflows) to enhance productivity, quality, and delivery speed.
  • Demonstrated ability to quickly learn, evaluate, and adopt emerging tools and workflows, adapting to a rapidly evolving AI-augmented engineering landscape.
  • Experience with Agile development methodologies such as SCRUM.
  • Proficiency in automation and continuous delivery (CD) methods.
  • 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

  • Experience developing and maintaining design systems, component libraries, or shared UI frameworks.
  • Familiarity with modern front-end design systems Storybook.
  • Experience with vanilla-extract or similar type-safe, zero-runtime CSS-in-JS styling libraries.
  • Hands-on experience authoring AI enablement of assets such as custom instructions, skills, and prompts, or integrating tools via the MCP.
  • Practical knowledge of web accessibility standards (e.g., WCAG, ARIA) and cross-browser compatibility.
  • DevOps experience supporting token repositories, build systems, and CI/CD pipelines (e.g., Jenkins or similar tools).
  • Familiarity with additional programming languages and runtimes such as Python and Node.js.
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