Staff Software Engineer - Backend

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 Staff Software Engineer (Backend) role is a high-impact IC responsible for setting the technical vision and architectural direction for our core markets and trading platform. You’ll join a true 0→1 team, driving the technical strategy, defining long-term system architecture, and establishing the engineering standards for the entire backend organization. You will be responsible for architecting and scaling systems that can handle millions of events daily and ensuring the platform's reliability, correctness, and auditability. On the engineering side, we're pioneering the use of AI as a code collaborator. We need engineers who will define the organizational strategy for AI-assisted development, driving adoption of tools like Claude Code, Cursor, Codex, GitHub Copilot, or similar across multiple teams to ensure exceptional quality and maximum development velocity.

Responsibilities:

• Define and own the long-term technical strategy and architecture for our mission-critical backend services in Go
• Drive cross-organizational alignment and technical strategy for our markets and trading platform, partnering closely with product and engineering teams to deliver robust, observable, and maintainable systems
• Define the technical scope and success metrics for major, multi-quarter initiatives. Serve as the technical lead for critical backend projects, ensuring successful end-to-end delivery.
• Architect and scale our experimentation capabilities (feature flags, A/B tests) to support rapid, high-volume testing across critical trading and markets services.
• Own and drive the architectural vision for data modeling and management (markets, orders, transactions), ensuring absolute correctness, integrity, and regulatory auditability across all data stores.
• Define the architecture for rel