Senior Backend Engineer, Markets Engineering

Polymarket Polymarket · Fintech · New York, NY · Engineering

Backend engineer to build systems for Polymarket, a prediction market platform. Focus on automation pipelines, data integrations, and market lifecycle infrastructure. Responsibilities include building automation systems, engineering resolution infrastructure, designing event-driven automation, owning reliability, and collaborating cross-functionally.

What you'd actually do

  1. Build markets automation systems: Design and implement pipelines that automate market creation, parameter configuration, and lifecycle management across thousands of concurrent markets.
  2. 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.
  3. 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).
  4. Own reliability & operations: Reinforce correctness, availability, and scalability across markets systems, and participate in diagnosing and resolving production issues.
  5. 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.

Skills

Required

  • 4–7+ years of professional backend development experience
  • 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