Exchange Operations Automation Engineer

Remote $100k–$130k 8 days ago full-time quality 9/10

Role in brief

Crypto.com is seeking an Exchange Operations Automation Engineer to design, build, and maintain automated pipelines for their prediction market lifecycle. This role involves integrating various data feeds and developing AI-assisted tools for outcome verification. It is ideal for an engineer with strong Python and Airflow skills, experienced in technical operations or backend engineering, who can work independently in a fast-paced environment.

PythonAirflowREST APILinuxAI tooling

About the role

This role focuses on automating the prediction market lifecycle at Crypto.com, a global cryptocurrency platform. The engineer will be responsible for creating and maintaining automated pipelines for market creation, monitoring, settlement, and dispute resolution. This involves leveraging Python and Airflow to streamline operations and enhance the efficiency of market processes.

A key aspect of the work involves integrating diverse data sources, such as sports data feeds and government data APIs, to power automated settlement workflows. The engineer will also develop and maintain REST API integrations with internal systems and external data providers. This requires a solid understanding of data flow and system interoperability.

Success in this position means systematically eliminating manual processes within the Exchange Operations team. This includes building AI-assisted tooling for tasks like outcome verification and edge case detection, utilizing LLM APIs and prompt engineering. The role also requires managing scheduled tasks, monitoring pipeline health, and ensuring all systems meet regulatory standards for observability.

The salary for this position ranges from $100,000 to $130,000 annually.

Skills that matter here

  • Python: Python is essential for designing, building, and maintaining automated pipelines, data processing, API clients, and scripting.
  • Airflow: Airflow is used for orchestrating workflows and managing the automated pipelines for market operations.
  • REST API: Experience with REST API integrations is required for connecting internal exchange systems and third-party data providers.
  • Linux: Comfort in Linux environments is needed for shell scripting and managing cron jobs and scheduled tasks.
  • AI tooling: AI tooling, including LLM APIs and prompt engineering, will be used to develop tools for outcome verification and edge case detection.

Who this role suits

  • A candidate with at least three years of experience in technical operations, data engineering, or backend engineering.
  • Someone who understands prediction market mechanics or derivatives products.
  • An individual capable of operating independently and managing production stakes in a dynamic environment.
  • A person who prioritizes systematic elimination of manual processes through automation.

From the employer

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.

Benefits

  • Competitive 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.

Questions about this role

What is the remote work policy for this role?

This is a fully remote position, offering work flexibility.

What technical skills are required for this position?

Key technical skills include strong Python proficiency, experience with Airflow or similar workflow orchestration tools, hands-on experience with REST API integrations, and comfort working in Linux environments.

How does this role contribute to the company's mission?

This role enhances Crypto.com's prediction market lifecycle through automation and technical infrastructure improvements, supporting the company's vision of accelerating cryptocurrency adoption.

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Before you apply

  • Legitimate employers never ask you to pay anything to apply or get hired.
  • Never share seed phrases or private keys. No real job needs them.
  • Do not install software ("test tasks", "trading tools", "video call clients") sent during hiring.
  • Check that the application page's domain really belongs to Crypto.com.