Low-Latency Compute Engineer: Kubernetes on Bare Metal

Selby Jennings; Greater London; On-site; GBP 110,000 - 190,000; Full time

Job summary

Selby Jennings' client, a leading multi-strategy hedge fund, seeks a Compute Engineer to design and scale an on-premise compute platform for investment and research teams.

You will build fault-tolerant distributed systems, perform performance tuning for low-latency workloads on bare metal, and automate with Python and Kubernetes. On-call rotations and collaboration with developers are required.

Qualifications

• 6+ years in large-scale infrastructure environments.
• Kubernetes expertise and bare metal Linux experience.
• Strong background in low-latency systems and performance tuning.
• Network optimization and routing expertise.
• Python automation and tooling skills.
• Disaster recovery experience with strong communication and stakeholder management.

Responsibilities

• Build fault-tolerant, distributed systems for reliable compute workloads.
• Establish software guardrails for reproducible compute environments.
• Scale and harden the compute infrastructure for resilience.
• Leverage open and closed source software solutions.
• Partner with application developers to enable success.
• Participate in on-call rotation and maintenance.

Skills

Distributed systems design

On-call readiness

Stakeholder management

Performance tuning

Automation scripting

Tools

Kubernetes

Linux

Python

Job description

Our client, a leading multi-strategy hedge fund, is looking for a Compute Engineer to help build and scale a world-class on-premises compute platform supporting its investment and research teams. The role focuses on developing fault-tolerant, distributed systems that enable researchers and traders to operate reliably and efficiently around the clock in a highly performance-driven environment.

The ideal candidate will have experience operating large-scale compute environments, preferably within low-latency settings where infrastructure and application performance tuning are critical. Strong Kubernetes expertise is essential, particularly building and managing Kubernetes clusters on bare metal infrastructure, alongside solid Python skills for automation and platform development.

As the Compute Engineer:

• Build fault tolerant, distributed systems that enable the investment and research teams to work reliably and efficiently around the clock.
• Establish software guardrails that enforce standards and enable reproducible compute environments.
• Scale and harden our compute infrastructure to provide a robust and resilient environment for researchers and investment professionals.
• Leverage both open and closed source software solutions.
• Partner with application developers across the firm and enable their success.
• Participate in on-call rotation and maintenance.

Core Requirements:

• 6+ years in large-scale infrastructure environments.
• Expert Kubernetes and bare metal Linux experience.
• Strong low-latency systems and performance tuning background.
• Network optimization and routing expertise.
• Python automation and tooling skills.
• Disaster recovery experience with strong communication and stakeholder management skills.