Responsibilities
- 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) .
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