Exchange Operations Automation Engineer (US)

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.