Full Stack Software Engineer

Intercontinental Exchange Holdings, Inc.•New York, NY

1d•$130,000 - $160,000•Onsite

About The Position

The New York Stock Exchange (an Intercontinental Exchange company) is synonymous with finance. It's where global investors turn every day. As the world's most trusted exchange group, we operate a family of exchanges spanning equities, options, ETFs, and bonds, all running on trading technology we build and operate ourselves, combining that technology with a human being at the point of sale. We are looking for a versatile Full Stack Software Engineer with a strong technical foundation and the ability to work across the entire stack, from data and services through to the user experience. This is a builder's role. You will own problems from idea to production and take on work across design, implementation, testing, and delivery rather than staying inside a single layer. AI is reshaping how software is built, and we want an engineer who takes full advantage of it. The most effective developers today use AI and agentic tools to raise both their speed and their quality, and to expand the scope of what one engineer can deliver. We are looking for someone who has made these tools part of how they work and who stays current as the field evolves. You will join a fluid team that moves quickly, where ideas need to be communicated concisely and effectively. The ideal candidate is driven, works well independently and as part of a team, and knows when to escalate. You should thrive in an agile environment, welcome constructive feedback in the spirit of improving software quality, enjoy modern tooling, and be able to take on complex, loosely defined problems with limited direction.

Requirements

Bachelor's degree in Computer Science or a related field, or equivalent practical experience
2 or more years of professional software development experience
Strong computer science fundamentals, including data structures, testing, debugging, and clean, maintainable design
Proven ability to work across the full stack, comfortable on both the frontend and the backend rather than in a single layer
Proficiency with a modern frontend framework and the core web technologies beneath it, including component design and state management. We primarily use React and TypeScript, with JavaScript, HTML5, and CSS
Experience building backend services and integrating RESTful APIs
Experience working with a relational database such as Oracle or PostgreSQL
A habit of writing automated tests and reviewing code with care, including code produced by AI
Demonstrated, recent experience using AI development tools (see Working with AI above)
Excellent communication skills and the ability to explain technical solutions clearly
Ability to work well both independently and as part of a team, with a strong desire to grow

Nice To Haves

Experience with the Spring Boot framework or another modern backend framework
Experience with data grids and data virtualization in React, including AG Grid
Experience with D3 or a similar JavaScript visualization library
Experience with testing and browser automation frameworks such as Jest, React Testing Library, Enzyme, Chai, Playwright, jest-puppeteer, or cucumber-js
Experience with WebSocket integration
Exposure to cloud platforms, containers, or CI/CD pipelines
Interest in or exposure to financial markets or trading systems

Responsibilities

Design and build thoroughly tested, efficient, maintainable software across the full stack
Own features from early concept and prototype through to production and support
Design, build, and integrate RESTful APIs and services
Contribute to and enhance shared component and testing frameworks
Use AI and agentic development tools to accelerate implementation, testing, refactoring, and documentation, while retaining full ownership of the correctness, quality, security, and maintainability of everything shipped
Review and validate code generated by AI with the same rigor as any other change, and define the conventions and guardrails that keep this work consistent with the codebase
Choose an appropriately sized AI model for each task, balancing capability against speed and cost
Create and maintain clear software documentation
Prepare and produce releases of software components
Build wireframes and prototypes to validate ideas quickly
Provide support throughout the software delivery process, including beyond business hours when necessary