Lead Hardware Management Engineer β Global Quantitative Trading Firm | Up to Β£350k TC
A globally renowned quantitative trading firm is seeking a highly skilled Hardware Management Engineer to join its Research Infrastructure Engineering team. This group builds and optimises the high-performance platforms that underpin research and trading β spanning operating systems, workload scheduling, HPC, large-scale storage, and ultra-low latency networking.
In this role, you will partner directly with researchers and traders, driving the design, optimisation, and scalability of Linux-based systems that enable next-generation trading strategies. This is a hands-on, lead position with strong technical ownership, where your expertise in hardware, kernel tuning, and system performance will have a visible impact.
Responsibilities
- Engineer and manage high-performance Linux-based platforms supporting research and trading.
- Design and optimise workload scheduling, large-scale storage, and SDLC frameworks.
- Deliver Linux Kernel tuning and low-latency network optimisation.
- Implement telemetry collection and instrumentation for high-throughput applications.
- Stay ahead of industry trends, generating POCs for emerging technologies.
- Collaborate with research and trading teams to ensure systems performance meets evolving strategy needs.
Company:
- Technology-led culture β Drives both trading and internal investment decisions
- c.1,000 employees β Large enough for scale, small enough for individual impact
- New state-of-the-art London HQ β Core hub for engineering and trading, Free On-Site Gym
- Flat structure β Direct access to senior engineers and C-level leaders
- Strong Glassdoor rating
- Great work life balance (frequently quoted on Glassdoor) β Free Breakfast and Lunch, 2 days per week WFH
- Competitive Compensation β Year 1 guaranteed bonus, 13% pension, Potential for Sign-On Bonuses
Requirements:
- 10+ yearsβ Linux administration or platform engineering experience.
- Expertise in Linux Kernel tuning and hardware optimisation.
- Strong understanding of networking and storage performance.
- Experience with DevOps tooling (Terraform/Ansible).
- CI/CD pipeline experience (GitLab, Jenkins preferred).
- Programming/scripting ability in Python, Golang, or similar.
- Monitoring experience with Splunk, Prometheus, Grafana.
- Containerisation exposure (Docker, Kubernetes).
- Technical leadership experience is strongly advantageous.
Locations
Contact Detail:
Stanford Black Limited Recruiting Team