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.
About the job
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
Python, Go, Rust, Java, Distributed Systems, Data Pipelines, Event-Driven Architecture, Kafka, Pulsar, RabbitMQ, AWS, GCP, Linux
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