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TL;DR
Senior Backend Engineer (Go) (prediction market exchange infrastructure): Building and scaling low-latency backend services, event-driven data pipelines, and APIs for a real-time peer-to-peer trading exchange with an accent on performance, correctness, and production reliability. Focus on profiling latency and throughput, designing distributed systems for partial outages, and operating services that process financially consequential transactions.
Location: New York, United States; on-site
Company
Polymarket operates a peer-to-peer prediction market platform where users trade on outcomes across politics, economics, sports, culture, and current affairs.
What you will do
- Design and implement low-latency backend services for the core exchange, primarily in Go, with Python or Java where appropriate.
- Profile and tune systems across the stack to improve latency, throughput, and memory usage.
- Build and maintain event-driven data pipelines and APIs using Kafka, Pulsar, or similar streaming platforms.
- Own production reliability by diagnosing incidents, writing postmortems, and preventing recurrence.
- Collaborate with product, infrastructure, and data engineers to integrate exchange services.
- Contribute to distributed-systems architecture focused on failure modes, graceful degradation, and recovery.
Requirements
- 4–7+ years of professional backend development experience with strong proficiency in Go, Python, or Java; Go is a significant advantage.
- Strong understanding of algorithms, data structures, concurrency, and memory management applied to production systems.
- Experience building and debugging high-throughput, low-latency systems on Linux from design through production operation.
- Strong focus on correctness and defensive engineering for systems with financial consequences.
- Ability to work independently with high autonomy and ownership.
Nice to have
- Experience in trading systems, high-frequency trading, gaming, telecom, or other latency-sensitive domains.
- Production experience with Kafka, Pulsar, or similar streaming platforms at scale.
- Familiarity with gRPC, Protobuf, or ZeroMQ.
- Experience operating cloud services on AWS or GCP with containers and modern deployment tooling.
Culture & Benefits
- High-autonomy individual contributor role with significant ownership.
- Work alongside a small group of senior engineers focused on correctness and performance.
- Competitive salary and equity.
- Unlimited paid time off.
- Full health, vision, and dental coverage.
- 401(k) match and hardware setup including a MacBook Pro, display, and accessories.
Музыка
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