Hawksman Technology is currently working with a leading global crypto-native quantitative trading firm based in London, looking to hire a top-tier Quant Developer (C++ / Exchange Infrastructure) to join its core technology team.
Role and Responsibilities
- Work closely with quantitative researchers and traders to design, build, and optimise ultra-low-latency trading and execution infrastructure across global crypto markets (CEX and DEX venues)
- Develop and maintain C++23-based high-performance systems for trading, order routing, and real-time market data processing
- Contribute to the design and optimisation of exchange connectivity layers, including FIX-style protocols, native exchange APIs, and WebSocket feeds
- Build and enhance components inspired by matching engine / exchange-grade architecture, including order lifecycle management, book building, and execution logic
- Optimise systems for deterministic low latency, high throughput, and extreme reliability in 24/7 crypto trading environments
- Work on real-time infrastructure, simulation frameworks, and exchange-level testing environments
- Integrate with centralised exchanges, decentralised protocols, and on-chain data infrastructure
- Diagnose production bottlenecks across networking, kernel, and application layers, and implement robust performance improvements
- Collaborate with global quant, trading, and infrastructure teams on cross-venue execution architecture
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline (Master’s preferred)
- Strong proficiency in modern C++ (C++17/20/23) with deep systems-level understanding
- Strong experience with low-latency systems, exchange connectivity, or market microstructure infrastructure
- Prior exposure to matching engines, OMS/EMS, order routing, or exchange-side engineering highly desirable
- Strong understanding of networking, concurrency, and performance optimisation in distributed systems
- Experience working in trading, exchange, or crypto infrastructure environments preferred
- Strong analytical skills and ability to operate in fast-paced, high-performance engineering teams
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