Senior Systems Engineer – Performance & Reliability
Indexed description
Job Summary
We decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted.
The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision.
You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.
You Might Find Yourself
- Expanding measurement coverage from small clusters to full racks
- Designing workloads that expose system behaviour
- Building systems to run experiments across large clusters
- Interpreting results and defining what “good enough” looks like
We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.
Selection Criteria
Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.
Essential
- Strong software engineering experience, typically gained across multiple projects or systems over several years
- Experience working in Linux-based environments, ideally with distributed or high-performance systems
- Proficiency in Python
- Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
- Ability to design, implement, and run experiments or tests that produce meaningful results
- Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
- Comfortable working in areas where requirements are not fully defined and judgement is required
- Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
- Experience with performance, reliability, or systems-level testing/measurement
- Familiarity with pytest or similar frameworks for structured test/measurement execution
- Experience analysing system behaviour under load (compute, network, or ML workloads)
- Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
- Proficiency in other applications programming languages (e.g. C++)
- Exposure to data analysis, statistics, or interpreting variability in results
Sponsorship
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search