Quantitative Developer

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

Requirements

• 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

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