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.