[Up to c. £225k Comp Package | Likely On-Site Working]

Role Overview

We’re partnering with a technology-driven quantitative investment firm whose trading and research platforms operate in performance-critical environments. As their infrastructure continues to scale, they are seeking a senior Linux engineer to take ownership of core platform engineering across low‑latency trading systems and high‑performance research compute. This is a deeply hands‑on role focused on engineering excellence. You will shape how Linux is built, automated, hardened and optimised across the estate — influencing performance, resilience and operational standards in an environment where precision and reliability matter.

Key Responsibilities

• Own and evolve the firm’s enterprise Linux platform (RHEL-based), including standardised builds, patching strategy, hardening and lifecycle management
• Drive automation across provisioning, configuration management and operational workflows using tools such as Ansible, Terraform, Python and container technologies
• Optimise system performance at OS and kernel level, particularly in latency‑sensitive environments
• Act as an escalation point for complex production incidents across Linux, networking and storage layers
• Engineer and support high‑performance storage solutions and shared research compute environments
• Maintain and troubleshoot GPU‑enabled Linux servers supporting advanced modelling workloads
• Independently debug networking issues spanning routing fundamentals, TCP/UDP behaviour and host connectivity
• Improve observability, reliability and change management processes across the Linux estate
• Partner closely with engineering and research teams to deliver scalable, repeatable infrastructure platforms

What You’ll Bring…

• 6–11 years’ experience engineering and operating Linux platforms in complex production environments
• Strong hands‑on expertise with Red Hat Enterprise Linux, including build standardisation, patching and security hardening
• Deep understanding of Linux internals, performance tuning and system‑level troubleshooting
• Proven automation capability using Python and Ansible (Terraform and Docker beneficial)
• Solid grounding in networking fundamentals with the ability to troubleshoot independently
• Experience working with Git‑driven infrastructure workflows and structured change management
• Familiarity with observability tooling such as Prometheus and Grafana
• Understanding of server hardware architecture and performance considerations (NUMA, CPU pinning, storage performance)
• Ideally, prior exposure to trading, real‑time systems or other latency‑critical environments