High-Performance Systems Engineer (HPC & Trading Infra)

Referment; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Referment is partnering with a global investment and technology organisation to hire a Systems Developer for a team responsible for high-performance research and trading infrastructure. This hands-on role spans large-scale compute, operating systems, development tooling, networking and storage.

You’ll design workload scheduling, fleet management, clustered file systems, and performance tuning of kernel and network stacks to support latency-sensitive workloads.

Qualifications

• Experience in infrastructure orchestration and fleet management.
• Advanced Python proficiency for systems engineering, including high-concurrency frameworks.
• Degree in Physics, Mathematics, Computer Science, or related technical field, or comparable practical experience up to five years.
• Curiosity about how complex technology works and the motivation to investigate unfamiliar problems.
• Clear written and verbal communication, organisation and time-management skills.

Responsibilities

• Design and improve workload scheduling and fleet-management capabilities for large compute environments.
• Contribute to clustered file-system design and operation, software lifecycle tooling and platform reliability.
• Investigate and tune kernel and network performance for latency-sensitive and high-throughput applications.
• Build metrics collection and analysis tools that help engineers understand and improve infrastructure behaviour.
• Collaborate with a global engineering team supporting research and trading workloads.

Skills

Infrastructure orchestration

Python

High-concurrency

Systems performance

Linux networking

Education

Physics/Math/CS degree

Tools

IaC (Ansible)

OCI/REST APIs

Job description

Referment is partnering with a global investment and technology organisation to hire a Systems Developer for a team responsible for high-performance research and trading infrastructure. This hands-on role spans large-scale compute, operating systems, development tooling, networking and storage.

You’ll design workload scheduling, fleet management, clustered file systems, and performance tuning of kernel and network stacks to support latency-sensitive workloads.