Software Engineer - Fullstack - FMX - Engineering

About Fanatics Markets:

Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.

Overview:

This Software Engineer (Full Stack) role is an IC responsible for building and maintaining features for the web application that customers use to interact with our product. You’ll join a true 0→1 team, contributing to the product definition, technical foundations, and ways of working from scratch. You’ll contribute high-quality code and support best practices for AI-assisted development while building systems that can handle millions of events daily.

On the engineering side, we're pioneering the use of AI as a code collaborator. We need engineers who are proficient in using tools like Claude Code, Cursor, Codex, GitHub Copilot, or similar to ship production code efficiently while maintaining high quality standards.

Responsibilities:

• Design, develop, test, and deploy scalable, high-quality web experiences using React, Next.js, and modern JavaScript/TypeScript.
• Contribute to the technical evolution of our Markets web platform, partnering with product and design to deliver engaging, performant, and accessible features.
• Implement and support features end-to-end: implementation → instrumentation → deployment → monitoring → iteration based on metrics.
• Implement and maintain experimentation capabilities (feature flags, A/B tests) to validate ideas quickly and safely.
• Integrate with backend APIs and collaborate with platform teams to build reliable, observable systems.
• Make contributions to the Go backend.
• Participate in code reviews, focusing on code quality, readability, and maintainability.
• Leverage AI tools to accelerate development velocity while maintaining high standards for security, correctness, and performance.
• Follow and help improve team standards for AI usage (prompt patterns, code review checklists, validation strategies).