Original listing text, shown exactly as published by the company.
Responsibilities
- 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.
Requirements
- 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.
