Low Latency Market Data Software Engineer

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Hytech

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Linux C++

Job Description

About the Role

We are building a high-performance market making operation and looking for a founding member of our trading infrastructure team. As the Low Latency Market Data Engineer, you will own the full data layer, from institutional feed ingestion through to the composite real-time reference prices that power our quoting engine. This is a high-ownership, greenfield role with direct visibility into how your infrastructure drives our trading performance.

Key Responsibilities

  • Design, build, and maintain production-grade feed handlers for institutional market data sources and crypto exchange APIs, owning uptime, latency, and data quality SLAs
  • Build and continuously improve a real-time composite pricing model with dynamic source weighting, outlier detection, and automated failover logic
  • Profile and reduce end-to-end feed-to-application latency through kernel-level Linux tuning, CPU affinity, interrupt handling, and NIC configuration
  • Implement automated feed health monitoring and alerting to detect stale prices, source outages, and timestamp anomalies in real time
  • Collaborate closely with the trading and infrastructure teams to translate pricing model requirements into robust feed infrastructure

What We're Looking For

  • 5โ€“8 years of experience in market data engineering within a live trading environment (HFT, market making, or institutional prop trading)
  • Hands-on production experience with institutional market data feeds such as LSEG/Refinitiv Elektron or equivalent, feed handler development, not terminal usage
  • Strong Linux systems expertise: CPU affinity, NUMA, kernel network stack tuning, and latency profiling tools
  • Proficiency in C++ and/or Python for production feed handler development; knowledge of OTC market data structure (FX or commodities spot pricing) is essential
  • Experience building composite pricing models from multiple sources; familiarity with crypto exchange WebSocket feeds is a strong plus
  • Fluent in English and Mandarin to effectively collaborate with Mandarin-speaking stakeholders

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