Senior Systems Engineer – Performance & Reliability (Analysis)
Indexed description
Job Summary
We turn measurements from large-scale systems into engineering decisions. Our team runs workloads on Linux clusters (from rack scale upwards) and collects detailed performance and reliability data. The key challenge is interpreting these results correctly and deciding whether a system is ready for production.
You Will Work On
- Analysing results from measurements of distributed systems
- Understanding performance variability and repeatability
- Defining what “normal” and “acceptable” system behaviour looks like
- Working with measurement data from compute, network, and ML workloads
- Analysing results produced by automated test frameworks (e.g. pytest-based systems)
- Comparing results across runs, configurations, and system scales
- Helping define thresholds for pass/fail decisions
- Influence how measurements are designed to produce better data
- Improve how results are stored, queried, and interpreted
- Are comfortable working with real-world, imperfect data
- Can reason about distributed systems performance
- Focus on evidence and correctness rather than presentation
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 Poland. 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