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.
- 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.
Preferred Background
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.
Skills Required
- 3+ years in technical operations, data engineering, or backend engineering.
- Strong Python proficiency for 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.
- 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.
Crypto.com Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Crypto.com and has not been reviewed or approved by Crypto.com.
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Fair & Transparent Compensation — Pay is considered market‑competitive in select engineering, product, trading, compliance, and senior roles, with external postings and salary snapshots indicating strong bands in some geographies. Standout offers appear at higher levels, reinforcing that top‑of‑band packages are attainable in certain teams.
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Healthcare Strength — Benefit descriptions include medical, dental, and vision coverage across U.S. roles. Core health insurance is presented as part of a standard modern fintech package alongside other essentials.
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Leave & Time Off Breadth — Benefit materials reference PTO, sick time, and attractive annual leave with additional days for occasions. Time‑off provisions are positioned as a consistent element of the offering, with regional variation.
Crypto.com Insights
What We Do
Crypto.com was founded in 2016 on a simple belief: it's a basic human right for everyone to control their money, data and identity. Crypto.com serves over 10 million customers today, with the world’s fastest growing crypto app, along with the Crypto.com Visa Card — the world’s most widely available crypto card, the Crypto.com Exchange and Crypto.com DeFi Wallet.
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