Senior Product Engineer - Backend
About the role
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 III (Backend) role is a senior-level IC with significant ownership over the web application that customers use to interact with our product. You’ll join a true 0→1 team, helping define the product, technical foundations, and ways of working from scratch. You’ll lead by example, establishing 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 have gone beyond experimentation—who actively use Claude Code, Cursor, Codex, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards.
Responsibilities:
- Lead the design, development, testing, and deployment of scalable, high-quality backend services in Go
- Drive the technical evolution of our markets and trading backend, partnering with product and other engineering teams to deliver robust, observable, and maintainable systems
- Own services and features end-to-end: spec writing → implementation → instrumentation → deployment → monitoring → iteration based on metrics
- Design and implement experimentation capabilities (feature flags, A/B tests) to validate ideas quickly and safely
- Model and manage data for markets, orders, and transactions with a focus on correctness, integrity, and auditability
- Integrate on-chain and off-chain data sources, building reliable pipelines for blockchain event ingestion and querying
- Collaborate on reliability practices including on-call participation, SLO definition, alerting, and incident response
- Conduct thorough code reviews, raising the bar on code quality, readability, and maintainability
- Leverage AI tools to accelerate development velocity while maintaining exceptional quality standards