Senior Systems Engineer – Performance & Reliability (Analysis)
Indexed description
Job Summary
We turn large-scale system measurements into decisions. Our team runs workloads across clusters of machines and collects detailed performance data. The challenge isn’t running the measurements—it’s deciding what they mean, and whether a system is good enough to enter production.
You will work with results from real systems and help answer questions like:
- Is this system behaving as expected?
- Is performance stable enough to trust?
- Does this meet the criteria to enter production?
You won’t be confined to a single role. You may shape measurements, influence how they are run, or improve how results are interpreted. You are free to specialise, but the team is responsible for leaving no gaps.
This is not a dashboarding or reporting role in the traditional sense. The goal is to produce outputs that support real engineering decisions.
We’re Looking For Engineers Who
- Think carefully about uncertainty and evidence
- Prefer clarity over presentation
- Are comfortable challenging conclusions when data is weak
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++)7. 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.
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