Senior Systems Engineer – Performance & Reliability
Indexed description
Job Summary
We decide whether entire racks of machines are good enough to enter production. Our team builds and runs measurements on large-scale Linux clusters—from a single rack up to datacentre-scale systems. We use these measurements to determine system performance, reliability, and whether a system can be trusted in production.
You Will Work Across
- Designing and running measurements on distributed systems
- Analysing performance and reliability results
- Improving systems that execute measurements at scale
- Running measurements on large-scale Linux clusters (rack-level and beyond)
- Using and extending tools such as pytest for measurement execution
- Measuring compute, network, and ML workload performance
- Analysing variability and repeatability of results
We Are Looking For Engineers Who
- Are comfortable working with distributed systems at scale
- Can reason about performance and reliability
- Prefer clear, evidence-based conclusions over assumptions
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.
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