Staff Software Engineer - CAT (Risk)

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

Overview

As a Staff Backend Engineer at Fanatics Betting & Gaming (FBG), you will be the architectural owner of backend systems that safeguard our customers and ensure a trusted, compliant, and frictionless betting experience. You will design and evolve large-scale distributed systems that power fraud detection and responsible gaming capabilities focused on customer identity, account management, and financial transactions across mobile and web platforms.

This role blends deep backend technical expertise with architectural leadership. You will define the long-term technical vision for fraud prevention, identity verification, and responsible gaming enforcement — ensuring our systems are secure, reliable, and adaptive to evolving threats and regulations. You’ll collaborate closely with Risk, Compliance, and Product partners to build a platform that balances safety, user trust, and operational efficiency.

At FBG, we’re revolutionizing sports betting with a customer-first approach that prioritizes integrity, fairness, and innovation. As a technical leader in the CAT (Customer, Accounts & Transactions) domain, you’ll help shape the foundation of trust and safety for millions of Fanatics customers.

Responsibilities

• Own and evolve the backend architecture that powers fraud detection and responsible gaming features.
• Design and implement distributed systems in Java and Spring Boot, building scalable services and APIs for real-time risk evaluation, transaction monitoring, and behavioral analysis.
• Collaborate with Data Science, Risk, and Compliance teams to integrate