# Backend Engineer, Markets

**Company:** [Polymarket](https://hotfix.jobs/companies/polymarket)
**Location:** New York, NY
**Role:** Backend Engineering
**Experience:** 1+ years
**Skills:** TypeScript, Python, Go, API Integrations, Linux, cloud tools, Kafka, RabbitMQ
**Posted:** 2026-07-31

> 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.

## Job Description

## 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.

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