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PolymarketPolymarketNew York, NY

Backend Engineer, Markets

Backend engineer on the Markets team at Polymarket building and owning automation pipelines, external data integrations (sports/news APIs), and lifecycle systems for thousands of live prediction markets. Requires 1-4 years backend experience, strong proficiency in TS/Python/Go, and a shipping track record.

Salary not listed
On-site1+ YOEBackend Engineering

About the role

Responsibilities

  • Build and maintain automation pipelines that handle market creation, parameter configuration, and lifecycle updates across thousands of concurrent markets.
  • Integrate sports APIs, news feeds, and other external data sources that drive market creation and resolution, including handling the messy, inconsistent data that comes with real vendors.
  • Design pipelines for reliability, idempotency, safe re-runs, and fast failure detection through monitoring and alerting.
  • Contribute to the data-driven systems that resolve markets accurately and on time.
  • Debug production failures across markets infrastructure, often under time pressure, with senior support available.
  • Review code and participate in design discussions as a full member of the engineering team.

Requirements

  • 1–4 years of professional backend engineering experience, or equivalent evidence such as strong internships combined with serious personal projects.
  • Proficiency in TypeScript, Python, or Go — genuinely strong in at least one and able to move in the others.
  • Hands-on experience integrating third-party APIs and working with real-world data that is inconsistent, delayed, or poorly documented.
  • Evidence that you ship: a production job, public repositories with real code, or personal projects that are actually running.
  • Comfort with AI-native development tools such as Claude Code, Codex, or Cursor — this is part of how we work, not optional.
  • Ownership mindset — you want to run what you build and you care when things break.
  • Comfort on Linux and with cloud tooling, or a clear track record of picking up new infrastructure quickly.

Nice-to-Haves

  • Personal projects built on Polymarket, Kalshi, or other prediction market APIs.
  • Exposure to queues, streaming systems (Kafka, RabbitMQ), or workflow engines.
  • Genuine interest in prediction markets, sports, or trading.

Compensation and Benefits

  • Competitive salary & equity.
  • Unlimited PTO.
  • Full Health, Vision, & Dental coverage.
  • 401k match.
  • Hardware setup: new MacBook Pro, big display, & accessories.

Skills

TypeScriptPythonGoAPI IntegrationsLinuxcloud toolsKafkaRabbitMQ

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