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 combines deep sports knowledge with strong engineering skills 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 game data, player statistics, injury reports, weather updates, and official league sources while maintaining data integrity and low latency.

DAG & Workflow Orchestration: Implement and maintain complex DAGs for orchestrating market operations workflows. Design fault-tolerant systems that handle dependencies between data ingestion, market creation, live updates, and settlement processes across thousands of concurrent sporting events.