Backend Engineer — Real-Time Sports Data (Go / ClickHouse / AI-Native)

**About Us** Betstamp is the pricing intelligence layer for sports betting. We turn 200+ sportsbooks, exchanges, and prediction markets into one sharp, real-time view of fair value — for the sportsbooks that price against it, the bettors who bet with it, and the traders who move on it. We launched in 2020, built by professional bettors who needed sharper tools than the market offered and won at scale using them. That same pricing now runs as infrastructure across the industry. Because it's still used to win real money, it can't drift — every model is backtested against years of closing lines and monitored continuously. What our customers run on is the pricing we stake our own edge on. **What We Build** One pricing engine, delivered three ways: - **Sportsbooks and operators** get fair-value pricing on player props, alternates, and ladders, correlation-aware same-game-parlay pricing, and a normalized real-time and historical feed that drops into their existing trading stack. - **Professional bettors** get Betstamp PRO, the professional odds screen — True Line pricing across 200+ books and real-time edge detection the moment a market is mispriced. - **Prediction market traders** get the raw feed by API: sub-second data on every market we cover, benchmarked against the full spread of books and exchanges. 200+ sportsbooks and operators. 2,500+ markets. Sub-second refresh. **Why Betstamp** We're at the point where a product built for bettors has become infrastructure the industry runs on — and prediction markets have opened a category that barely existed three years ago. That's a rare window, and we're small enough that the people who join now shape what gets built rather than maintain what already exists. The work has unusual clarity to it. Pricing is either sharp or it isn't, and our customers would know within a day if it weren't. You'll see the effect of your work quickly, and you'll be trusted with real scope early. **Careers** Learn more at **The Role** We track odds across sportsbooks, exchanges, and prediction markets in real time, calculating line movement, best available price, edge, and expected value. Our Go monorepo includes sportsbook scrapers, a Redis Streams and ClickHouse data pipeline, and the REST API powering and our props screen. You'll help maintain and improve these systems as feeds change, markets move, and integrations break. AI is central to how we work. You'll be expected to use coding agents and other AI tools heavily for implementation, debugging, testing, and investigation — while reviewing their output carefully and remaining accountable for the result. ### What You'll Own - **REST API:** Build Echo endpoints for markets, fixtures, and line history. Optimize PostgreSQL and ClickHouse queries and resolve performance issues. - **Sportsbook scrapers:** Maintain more than 100 integrations and fix issues caused by feed changes, renamed markets, and blocking. - **Infrastructure and alerting:** Work with Kubernetes, GitHub Actions, Prometheus, and Grafana to deploy services and improve monitoring. - **Data pipeline and databases:** Contribute to Redis Streams, our market processor, Atlas migrations, and ClickHouse schemas. - **AI-enabled development:** Use AI to move faster, improve code quality, and automate repetitive engineering work. You should actively explore new tools and better ways to apply them. You'll begin with scrapers and gradually take ownership across the stack. Architecture decisions, production incidents, and irreversible changes will be handled alongside a senior engineer. ### The Stack Go 1.25 · PostgreSQL 18, Atlas, and ClickHouse · Redis/Dragonfly, Redis Streams, and RabbitMQ · Kubernetes, Docker, and GitHub Actions ### What We're Looking For - Strong fundamentals in a backend language such as Go, Java, C#, Rust, C++, Kotlin, or server-side TypeScript - Comfortable working with SQL and investigating query performance - Some experience with Linux and containers - Active, thoughtful use of AI coding tools, with the judgment to verify their work - An interest in how AI can improve engineering workflows and products - A habit of verifying assumptions and communicating clearly - Based in Toronto or willing to relocate Go experience isn't required, but you should be able to become productive in it within a few weeks. ### Nice to Have - Experience with Go, Kubernetes, Prometheus, ClickHouse, or streaming systems - Experience scraping websites or reverse-engineering undocumented APIs - Experience building internal tools or product features with LLM APIs - An interest in sports or betting markets ### What’s In It for You - Competitive salary & raises — share in the upside you build - Autonomy & influence — real scope early, not tickets - Gear & learning stipend, plus free rein testing and spending on the AI tools of the future - World-class betting tools — the same tools professional bettors pay for, free - Sports-centric culture — team watch parties, office prop pools, and the inside scoop on sharp bets ### The Process - 45-min intro call — meet the team, swap questions - Lightweight take-home (under 2 hours) — a real problem from this codebase, not a LeetCode exercise - Systems conversation — a real problem together, no whiteboard algorithms - Final interview — meet leadership - Offer → onboarding → shipping to thousands of bettors