About this role
We're seeking a Linux Engineer to build, maintain and evolve the Linux platforms (RHEL and Ubuntu) that underpin our compute environment. You'll work across the full Linux stack, from OS builds and provisioning systems through to observability, security and custom tooling. Mathematics and science are at our core; AI pushes them further to unlock bigger thinking and bigger impact. We expect every colleague to actively bring AI into their daily workflow to deliver impact we didn't think was possible. In this role, that means helping design and use agentic frameworks to move the platform towards autonomous, closed-loop operations. Security is a core part of the role, from hardening and patching through to vulnerability response, and the role offers the chance to develop deep technical expertise in Linux internals, automation and performance optimisation while contributing directly to infrastructure that supports large-scale quantitative research.
Requirements
The ideal candidate will have the following skills and experience: Strong hands-on experience with Linux systems, particularly RHEL and Ubuntu Deep knowledge of Linux internals, such as boot process, kernel modules, filesystems and package management Experience with kernel optimisation and performance tuning, such as scheduler, memory and I/O, is desirable Knowledge of eBPF for observability, performance analysis and security enforcement is a strong plus Strong programming skills, for example in Python Experience with Infrastructure as Code (Ansible) and broader automation practices A strong understanding of Linux security, including hardening, patch management and compliance frameworks such as CIS benchmarks Experience with, or a genuine interest in, agentic or AI-driven operations is beneficial You don't need to have all of the above, but a problem-solving mindset and strong collaboration skills are essential