Overview

Role Overview

[Up to c. £250k Comp Package | Hybrid Working - 4 Days in Office (Long-Term)]

We’re supporting a growing financial technology firm as it builds out its high-frequency trading infrastructure, with a focus on low-latency Linux engineering at the very core of its platform strategy. This is a greenfield opportunity, giving you the chance to design, optimise, and deliver next-generation trading systems from scratch - working closely with the business to translate requirements into engineering solutions. This is not a traditional sysadmin role; it’s suited to engineers with deep Linux expertise who thrive on pushing performance, optimising bare-metal systems, and writing efficient code. You’ll be the go-to person for low-latency infrastructure, making technical decisions that directly influence trading performance and execution quality.

Key Responsibilities

• Engineer and optimise Linux operating systems for ultra-low-latency workloads, including kernel tuning, IRQ management, CPU pinning, and NUMA optimisation
• Design and implement high-performance networking approaches, minimising latency through user-space techniques and kernel bypass methods
• Optimise hardware and firmware performance at the bare-metal level, including BIOS tuning, memory configuration, and CPU scheduling
• Develop and maintain performance monitoring, observability, and diagnostic tooling for latency analysis
• Write high-performance utilities and automation scripts in Java, Python, or Golang to support performance engineering and profiling
• Deploy and refine precision timing systems and ensure synchronisation across the trading estate
• Collaborate with quants, developers, and network engineers to align infrastructure enhancements with trading strategies
• Take ownership of greenfield deployments, designing and delivering infrastructure solutions end-to-end

What You’ll Bring

• Strong track record in Linux performance engineering (8+ years), ideally within trading, HPC, or other latency-sensitive environments
• Proficiency in at least one programming language (Python preferred) with the ability to debug complex issues at the system level
• Deep knowledge of modern CPU architectures, cache hierarchies, NUMA optimisation, and memory management
• Hands-on experience with kernel bypass and high-performance networking techniques (not tied to a specific vendor or product)
• Familiarity with multicast messaging, market data distribution, or other high-throughput communication patterns
• Experience with performance analysis and profiling tools, including hardware counters and latency diagnostics
• Background in building infrastructure from the ground up in greenfield environments
• Strong communication skills, comfortable sitting close to the business and translating requirements into technical delivery

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Finance, and Information Technology

Industries

• Financial Services, Capital Markets, and Investment Management