Description

• Develop and enhance high-performance trading infrastructure, including market data ingestion and order execution systems.
• Deliver solutions that support a range of trading functions, including OTC trading, market making, proprietary trading, and systematic strategies.
• Take ownership of complex technical challenges, working independently to analyse issues and drive them through to resolution.
• Contribute to initiatives that improve system performance, scalability, and reliability across the stack.
• Actively explore and adopt AI-driven tools and technologies to enhance engineering productivity and business outcomes.
• Apply modern automation and generative AI capabilities to streamline workflows, improve decision-making, and elevate output quality.

• Strong programming expertise in Java, with deep understanding of performance tuning and optimisation.
• Proven experience in low-latency trading system development, particularly in pricing and execution environments.
• Advanced knowledge of concurrent and multi-threaded programming.
• Hands-on experience optimising Java applications, including garbage collection tuning.
• Familiarity with high-performance messaging frameworks (e.g., Aeron, 29West, or similar).
• Solid grounding in networking fundamentals, including TCP/UDP, multicast, routing, switching, and congestion control.
• Experience with kernel bypass and low-latency networking technologies (e.g., DPDK, RDMA, Solarflare/OpenOnload).
• Good understanding of Linux internals, including scheduling, memory management, and performance tuning.

• Background in electronic FX (eFX) systems, particularly in ultra-low-latency or zero-GC environments.
• Familiarity with institutional messaging protocols such as FIX or SBE.
• Experience designing fault-tolerant, distributed systems with high availability.
• Exposure to modern infrastructure tooling, including Docker, Kubernetes, and cloud platforms (e.g., AWS).