Quantitative Developer

Key Responsibilities

•        Design and build high-throughput, event-driven trading systems for multi-venue crypto markets

•        Develop performance-critical components in Rust, including execution engines, order management systems, and market data processing

•        Build and maintain exchange connectivity across multiple venues using REST, WebSocket, and FIX APIs

•        Develop market data pipelines and real-time tick processing systems to support both trading and research

•        Implement and maintain backtesting, simulation, and strategy evaluation frameworks in close collaboration with quantitative researchers

•        Improve system reliability, observability, and operational tooling (monitoring, alerting, incident response)

•        Maintain and support production trading systems operating 24/7, including monitoring system health, diagnosing issues, and implementing robust recovery mechanisms

•        Actively leverage AI coding as a core part of the development workflow to accelerate delivery and improve code quality

Qualifications

•        Bachelor's or Master's degree from a top-tier university, majoring in Computer Science, Software Engineering, Mathematics, Physics, Statistics, or a related STEM field

•        2+ years of Rust experience, or less with demonstrably strong systems engineering fundamentals and the ability to ramp up quickly

•        Proficiency in Python or Java(at least one required); experience with both is a plus

•        Experience in crypto trading, HFT, or financial systems

•        Deep expertise in concurrency primitives, lock-free programming, and cache-locality optimization to maximize CPU efficiency

•        Experience building high-performance systems or data infrastructure

•        Experience working with real-time data streams and exchange APIs

•        Curious, highly adaptable, and genuinely passionate about trading systems and market microstructure

Preferred

·      Familiarity with exchange APIs and order management systems

·      Experience in DEX mechanics or CEX matching engine nuances

·      Experience with low-latency networking (TCP/UDP, kernel bypass, DPDK, etc.)

·      Experience building quant trading infrastructure or simulation frameworks

·      Familiarity with Linux systems, cloud infrastructure, and observability tools