Senior Linux Systems Engineer – HPC & Distributed Infra

Oxford Knight

England

On-site

GBP 90,000 - 140,000

Full time

47 hours ago
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Benefits offered by this job

Bonuses
Generous benefits package
Friendly, informal culture
Work with latest technologies

Job summary

Oxford Knight is a leading algorithmic trading firm seeking engineers with deep Linux expertise to join a world-class R&D team. You will work on distributed compute clusters (GPU/CPU), large-scale storage, and automation tooling in a high-impact environment.

Responsibilities span scaling HPC, building services for research and live trading, hardware/software installation, monitoring, scripting, and performance tuning. A highly rewarding culture awaits working with cutting-edge tech.

Qualifications

  • 5+ years' advanced Linux systems engineering (installation, configuration, and troubleshooting).
  • Strong Python (or Shell) scripting experience.
  • Proficiency with configuration management tools.
  • Experience with public cloud infrastructure; Terraform or similar IaC.
  • Strong communication skills; able to collaborate effectively across diverse technical teams.
  • GPU optimization / ML infrastructure experience is a plus.
  • Kubernetes or similar container orchestration administration is highly beneficial.

Responsibilities

  • Scale HPC environment and ensure reliable operation across 24/7 cycles.
  • Design and build services to improve the research environment and live trading workflows.
  • Install, configure, or performance-test new hardware and software as needed.
  • Monitor, script, and automate repetitive tasks; develop tooling for operational efficiency.
  • Performance tuning of distributed compute clusters and storage layers.

Skills

Linux
Python
Shell scripting
Public cloud infrastructure
GPU/ML infra
Communication

Tools

Terraform
Kubernetes
Ansible

Job description

Oxford Knight is a leading algorithmic trading firm seeking engineers with deep Linux expertise to join a world-class R&D team. You will work on distributed compute clusters (GPU/CPU), large-scale storage, and automation tooling in a high-impact environment.

Responsibilities span scaling HPC, building services for research and live trading, hardware/software installation, monitoring, scripting, and performance tuning. A highly rewarding culture awaits working with cutting-edge tech.

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