Exchange Operations Automation Engineer US

• Design, build, and maintain automated pipelines for market creation, monitoring, settlement, and dispute resolution using Python and Airflow.
• Integrate sports data feeds (e.g., Sportradar, Genius Sports), government data APIs (BLS, Fed, ECB), and political event sources to power automated settlement workflows.
• Build and maintain REST API integrations with internal exchange systems and third-party data providers.
• Develop AI-assisted tooling for outcome verification, edge case detection, and settlement rule drafting—leveraging LLM APIs and prompt engineering where appropriate.
• Manage cron jobs and scheduled tasks; monitor pipeline health and respond to failures in production.
• Instrument observability: logging, alerting, and audit trails that meet CFTC regulatory standards.
• Partner with ExOps team members to identify manual processes and systematically eliminate them.
• Contribute to internal tooling documentation and code review practices.

• 3+ years of experience in a technical operations, data engineering, or backend engineering role.
• Strong Python proficiency: data processing, API clients, scripting, and automation.
• Hands-on experience building and maintaining REST API integrations.
• Experience with workflow orchestration tools such as Apache Airflow or similar (Prefect, Dagster).
• Familiarity with sports data feeds or event-driven data pipelines.
• Comfort working in Linux environments, including shell scripting and cron job management.
• Solid understanding of prediction market mechanics (binary options, categorical markets) or derivatives products.
• Ability to operate independently in a fast-moving environment with live production stakes.

Preferred Background

• Experience at a sportsbook, DFS platform, sports data company, or CFTC-regulated exchange.
• Hands-on experience with AI tooling—LLM API integration, prompt engineering, or building AI-assisted decision workflows.
• Familiarity with sports data providers such as Sportradar or Genius Sports.
• Knowledge of CFTC regulatory requirements or market surveillance practices.
• Experience with FIX protocol or financial exchange infrastructure.
• Background in political forecasting data, macroeconomic data sources (BLS, Fed, ECB), or event-driven settlement systems.

Schedule & Logistics

This role supports live global events and may require occasional rotational coverage including evenings, weekends, or holidays, with weekday off-days provided. This is a remote role.