Linux Engineer

Linux Engineer

We are seeking an exceptional Linux Engineer to build, operate, and continuously improve our Linux platform across latency-sensitive trading and research workloads. This is a high-impact role where your engineering choices will directly influence platform performance, reliability, and operational excellence.

You will combine deep hands-on technical expertise with an engineering mindset, taking ownership of critical systems, includingLinux engineering, platform automation, storage, and GPU compute infrastructure. This role is for engineers who thrive on solving complex challenges, improving estate-wide consistency, and designing scalable platforms that enable developers and researchers to move faster with confidence.

Responsibilities

• Linux platform engineering
• Automation and tooling
• Networking fundamentals
• Storage
• GPU infrastructure
• Platform operations

Core Technical Skills & Experience

Required

• Extensive Linux knowledge in production environments (troubleshooting, OS internals, performance and kernel tuning)
• Strong experience engineering and operating RHEL-based platforms (builds, patching, package management, hardening) including bare metal deployment (PXE, DHCP, Dell iDRAC/Redfish API)
• Proven ability to automate and build operational tooling using Python, Docker, and Ansible
• Fundamental understanding of core networking concepts with the ability to independently debug connectivity and performance issues
• Git fluency and an engineering approach to infrastructure change (PRs, review, traceability)
• Proven experience taking ownership of high impact, business-driven projects and delivering robust solutions that meet business requirements
• Experience utilising Prometheus for metrics collection combined with Grafana for building dashboards, visualising system metrics and supporting operational troubleshooting
• Good understanding of server architecture and hardware components (NICs, PCIe cards, SSDs, GPUs and FPGAs) and comfortable performing hands-on server work
• Experience in system performance tuning balancing low latency vs throughput (NUMA optimisation and hardware/BIOS configuration)

Nice to Have

• Experience in latency-sensitive environments (trading, market data, real-time systems)
• Hands-on ownership of storage systems, including performance tuning and operational reliability
• Familiarity with infrastructure-as-code patterns and tooling (e.g., Terraform/Packer, configuration management tooling)
• Experience supporting GPU infrastructure in production (NVIDIA GPU servers, driver/toolkit lifecycle, performance monitoring)
• Practical experience with Slurm or other cluster schedulers in HPC/research environments.
• Exposure to performance tooling such as perf/eBPF and fundamentals like IRQ/CPU pinning/NUMA (helpful but not essential)
• Operational knowledge of Kubernetes, including running and supporting containerised workloads in production environments
• Understanding of time (NTP, PTP) in Linux systems, including design considerations and fault analysis
• Experience working with Linux virtualisation platforms such as KVM or VMware in enterprise environments

Personal Attributes:

• Clear communication – explains technical concepts concisely and effectively
• Adaptability – adjusts to new technologies and unexpected challenges
• Analytical thinking – breaks down complex issues logically and methodically
• Decision-making – balances speed and accuracy when making technical decisions
• Collaboration over competition – prioritises team success over individual wins
• Accountability – follows through on commitments and owns mistakes
• Patience – supports teammates as they learn or troubleshoot issues
• Open to feedback – accepts and applies suggestions for improvement
• Growth mindset – always looks for ways to improve skills and workflows
• Proactiveness – takes initiative instead of waiting for instructions