We’re looking for a **hands-on Performance Test Architect** who can define strategy *and* actively build and execute.
This isn’t a pure oversight role — you’ll be designing performance frameworks, running tests, and working closely with engineering teams to solve real scalability challenges.
What you’ll do:
- Own and drive the performance testing strategy across distributed systems
- Design *and implement* scalable test frameworks (k6(preferred), JMeter, ...)
- Embed performance testing into CI/CD pipelines (Jenkins, GitHub Actions)
- Build observability using the Grafana stack (Grafana, Prometheus, Loki, Tempo)
- Analyse results, identify bottlenecks, and lead performance tuning efforts
- Define SLIs/SLOs and ensure systems meet reliability targets
What we’re looking for:
- Proven experience as a Performance Architect who still codes and tests
- Strong background in cloud-native environments (Kubernetes, Docker)
- Solid scripting skills (JavaScript, Python, or Java)
- Deep understanding of system behaviour under load
- Experience with OpenTelemetry and modern observability practices
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
