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.