Low-Latency Systems Engineer for HPC & Trading Infra

Referment; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

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

You’ll work in a distributed computing environment where software engineering meets systems performance. The remit includes workload scheduling, fleet management, clustered file systems and tuning for low-latency,

Qualifications

• Experience in infrastructure orchestration and fleet management.
• Advanced Python proficiency for systems engineering, with concurrency frameworks.
• Degree in Physics, Mathematics, CS, or related field, or up to five years practical experience.
• Strong written and verbal communication, organization and time-management.

Responsibilities

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

Skills

Infrastructure orchestration

Fleet management

Python proficiency

High-concurrency frameworks

Education

Physics/Math/CS degree

Tools

Static analysis

Type hints (Python)

Job description

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

You’ll work in a distributed computing environment where software engineering meets systems performance. The remit includes workload scheduling, fleet management, clustered file systems and tuning for low-latency,