Linux Engineer

About the Role:

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, including Linux 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

• Own and evolve the Red Hat Enterprise Linux platform lifecycle, including standardised builds, patching strategy, package management, hardening, and repeatable releases
• Ensure compliance with security policies, industry standards, and best practices through automation-driven enforcement
• Regularly rebuild and patch systems to mitigate security vulnerabilities
• Troubleshoot and optimise data centre operations, addressing issues related to performance, hardware failures, and automation anomalies
• Drive continuous improvements in system reliability, performance, and operability across the Linux estate

Automation and tooling

• Implement and support automation for provisioning, configuration management, operational workflows, and self-service capabilities with tools such as Ansible, Terraform, Packer, and Python
• Develop and maintain CI/CD pipelines and Docker containers to streamline infrastructure deployments
• Implement Infrastructure as Code (IaC) principles to ensure consistency and scalability

Networking fundamentals

• Troubleshoot complex production issues spanning host networking and application connectivity, including routing fundamentals and TCP/UDP behaviour
• Partner with the network engineering team where required while retaining strong independent troubleshooting capability

Storage

• Own the storage infrastructure, including architecture, operations, performance tuning, and lifecycle management
• Support and evolve cutting-edge storage technologies, including:
  • NVMe over RoCE for ultra-low latency, high-throughput storage access
  • Enterprise-grade on-prem object storage
  • Enterprise NFS storage capabilities for shared compute and research workloads
• Troubleshoot complex storage issues across hardware and software boundaries

GPU infrastructure

• • Own and maintain GPU-enabled Linux servers used for model training, research, and compute-intensive workloads
  • Operate and support the Slurm workload manager, including scheduling behaviour, node health, and operational reliability
  • Troubleshoot GPU stack issues across hardware and software layers, including drivers, CUDA libraries, kernel compatibility, and performance

Platform operations

• Act as an escalation point for Linux production incidents, leading diagnosis and recovery under pressure
• Improve system observability to identify and reduce repeat incidents
• Implement safe operational processes for change management across critical systems

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