Sports Operations Engineer

Sports Operations Engineer - Kalshi Kalshi is defining a new category Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history. Kalshi is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more. We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position. Our vision: well… build the largest financial market on the planet. Our mission: bring more truth to the world through the power of markets. Building a new category is hard… like really hard. But it's beautiful and deeply fulfilling. Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets. Role Roadmap As a Sports Operations Engineer at Kalshi, you'll be the technical force behind our sports markets infrastructure. You'll build and maintain the automation systems that power thousands of sports markets across all major leagues. This role combine [... source excerpt omitted ...] kills to create scalable solutions for market listing, monitoring, and settlement. We're scaling rapidly, which means your role will evolve and grow with the company; your initial responsibilities will include: Automation Development: Design and build Python automation scripts that list, update, and determine sports markets at scale. Create intelligent systems that handle pre-game, in-play, and futures markets across NFL, NBA, MLB, NHL, MLS, NCAA, and international competitions without manual intervention. Data Pipeline Architecture: Build robust data pipelines that ingest, process, and structure large volumes of sports data from multiple feeds. Design systems that handle real-time [... source excerpt omitted ...] ip: Own and evolve internal tools used by the Market Operations team. Build intuitive interfaces for market management, settlement verification, and operational monitoring. Gather requirements from operators and continuously improve tooling to increase efficiency and reduce errors. Sports Logic Implementation: Translate complex sports rules and edge cases into code. Build systems that understand overtime rules, tiebreakers, playoff scenarios, and sport-specific nuances. Implement logic for handling postponements, suspensions, protests, and stat corrections across different leagues. Real-time Processing Systems: Create systems that process live game feeds and trigger appropriate mar