Quant Systems Developer

b Overview /b p You join a core systems engineering team to build and maintain scalable, low-latency infrastructure that underpins high‑performance trading and large-scale research. You will shape distributed compute and storage solutions, tuning performance across the stack and developing internal tools to manage reliability and lifecycle. This role blends hands-on engineering with cross-team collaboration to meet evolving trading and research needs. Expect impactful work that directly supports data processing and strategy execution at scale, in a fast-paced, confidential environment. /p b Responsibilities /b ul li Design, develop, and maintain large-scale compute and storage systems used across trading and research /li li Architect and implement distributed workload scheduling and fleet orchestration, with performance tuning for a large server estate /li li Build internal tools for system performance, reliability, and SDLC lifecycle management /li li Tackle bottlenecks across kernel, file system, and network layers to support low-latency, high-throughput apps /li li Contribute to infrastructure monitoring, data collection pipelines, and real-time analytics /li li Collaborate with teams to align design with trading and research requirements /li /ul b Key requirements /b ul li Degree in Computer Science, Engineering, or related field, or equivalent hands-on experience (up to 5 years) /li li Solid programming ability in Python, Golang, Rust, or similar /li li Experience with Linux environments and networking fundamentals (desirable) /li li Excellent communication and collaborative, high-performance work style /li li Strong organizational and time-management capabilities /li li Curiosity, initiative, and ownership of complex problems /li /ul ul li excellent communication /li li collaboration /li li time management /li li Python /li li Golang /li li Rust /li /ul