Sports Operation Engineer

Kalshi-posted 3 months ago
$100,000 - $150,000/Yr
New York, NY
51-100 employees
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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.

  • 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.
  • Build robust data pipelines that ingest, process, and structure large volumes of sports data from multiple feeds.
  • Implement and maintain complex DAGs for orchestrating market operations workflows.
  • Develop and maintain cron jobs and scheduled tasks that automatically list markets at optimal times.
  • Own and evolve internal tools used by the Market Operations team.
  • Translate complex sports rules and edge cases into code.
  • Create systems that process live game feeds and trigger appropriate market actions in real-time.
  • Develop automated settlement systems that accurately determine market outcomes based on official results.
  • Continuously improve system performance to handle increasing market volumes.
  • Collaborate with Product, Contracts, and broader Engineering teams to integrate sports operations systems with Kalshi's core platform.
  • Bachelor's degree in Computer Science, Data Science, or related technical field.
  • 1-3 years of experience as a software engineer with a proven track record of building production systems.
  • Strong proficiency in Python and JavaScript with experience building automation scripts, data processing systems, and web applications.
  • Experience with DAG frameworks (Airflow, Prefect, Dagster) for orchestrating complex workflows and data pipelines.
  • Expertise with cron jobs and scheduled task management in production environments.
  • Experience pulling, processing, and structuring large datasets from APIs, webhooks, and real-time data feeds.
  • Proven ability to build automation and data pipelines that handle high-volume, time-sensitive operations.
  • Track record of making continuous tooling improvements and building internal products that scale with team needs.
  • Strong knowledge of sports and sportsbook operations including understanding of different market types and settlement rules.
  • Experience with sports data providers is strongly preferred.
  • Database expertise with both SQL and NoSQL systems for storing and querying sports data efficiently.
  • Experience with real-time systems including WebSockets, event streaming, and message queues.
  • Strong debugging and troubleshooting skills.
  • Excellent communication skills to work effectively with non-technical operations team members.
  • Ability to work flexible hours including on-call rotations to support live sporting events across different time zones.
  • Passion for sports combined with technical excellence.
  • Experience with sports data providers.
  • Familiarity with data formats common in sports data (JSON, XML, WebSocket streams).
  • Salary Range: $100,000 to $150,000 annually plus equity and benefits.
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