We are looking for an Automation Engineer to sit within our Exchange Operations (ExOps) team and own the technical infrastructure that powers our prediction market lifecycle. This is a builder's role: you will identify manual workflows, design automated solutions, and ship tools that make our operations faster, more accurate, and more resilient.
You understand prediction market mechanics and have a strong enough domain sense to know what needs to be automated and why-not just how. You will work closely with the broader ExOps team to translate operational pain points into robust pipelines and tooling.
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 & LogisticsThis 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.
$100,000 - $130,000 a year
#Remote
BenefitsCompetitive salary
Attractive annual leave entitlement including: birthday, work anniversary
401(k) plan with employer match
Eligible for company-sponsored group health, dental, vision, and life/disability insurance
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
