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PolymarketPolymarketNew York, NY

Senior Backend Engineer, Markets Engineering

Backend engineer building automation pipelines, data integrations, and market lifecycle infrastructure for a prediction market platform. Requires 4-7+ years experience with Python or Go, distributed systems, and event-driven architecture.

Salary not listed
On-site4+ YOEBackend Engineering

About the role

What You’ll Do

  • Build markets automation systems: Design and implement pipelines that automate market creation, parameter configuration, and lifecycle management across thousands of concurrent markets.
  • Engineer resolution infrastructure: Build reliable, data-driven resolution systems that integrate with external oracles, news feeds, sports APIs, and real-world data sources to settle markets accurately and on time.
  • Design event-driven automation: Build robust event processing systems that detect and respond to real-world triggers across politics, sports, finance, and current events using messaging and streaming platforms (Kafka, Pulsar, RabbitMQ).
  • Own reliability & operations: Reinforce correctness, availability, and scalability across markets systems, and participate in diagnosing and resolving production issues.
  • Collaborate cross-functionally: Work closely with engineers across product, infra, data, and markets operations to ensure tight integration between the markets layer and the broader platform.
  • Contribute to code quality: Participate in code reviews, design discussions, and architectural decisions to maintain a high bar for engineering excellence.

What We’re Looking For

  • 4–7+ years of professional backend development experience, with strong proficiency in Python or Go (preferred), or another language such as Rust or Java.
  • Solid understanding of distributed systems, data pipelines, and event-driven architecture; comfortable owning systems end-to-end in production.
  • Experience building automation systems, workflow orchestration, or integrations with third-party data sources and APIs.
  • Comfortable debugging complex systems on Linux and taking ownership of correctness and reliability.

Nice to have:

  • Experience with prediction markets, financial data, or real-world event detection systems.
  • Familiarity with external data integrations — news feeds, sports APIs, oracles, or similar real-world data sources.
  • Production experience with Kafka, Pulsar, or similar streaming platforms at scale.
  • Experience deploying systems in cloud environments (AWS/GCP) and using containers.

Benefits

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

Skills

PythonGoRustJavaDistributed SystemsData PipelinesEvent-Driven ArchitectureKafkaPulsarRabbitMQAWSGCPLinux

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