Performance Quality Engineer

Remote - Czech Republic, Comfortable working asynchronously across multiple time zones in a remote-first team.Full-TimeMiddle

Salary not disclosed

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Job Details

Languages: Fluent in English (written and spoken); Czech language skills are a plus but not required.
Experience: 3+ years of hands-on performance testing and analysis
Required Skills: AWSDockerPythonAgileJMeterKubernetesSCRUMGrafanaPrometheusAnalytical SkillsCI/CDMicroservicesSaaSDatadog

3+ years of hands-on performance testing and analysis on microservices-based, cloud-hosted (AWS) SaaS platforms.
Strong analytical skills with a demonstrated ability to move from symptoms to root cause.
Background in statistical analysis: trend modeling, interpolation, extrapolation, and capacity forecasting.
Working knowledge of AWS (EC2, RDS, S3, ECS/EKS), Docker, and Kubernetes.
Experience with performance testing tools (k6, Gatling, Locust, JMeter, or equivalent).
Experience with observability platforms (Prometheus, Grafana, Datadog) and log aggregation (ELK Stack, CloudWatch).
Scripting proficiency in Python or comparable language for test scenarios, data analysis, and light tooling.
Comfortable working asynchronously across multiple time zones in a remote-first team.
Fluent in English (written and spoken); Czech language skills are a plus but not required.

Design and create performance test suites for multiple product teams against a microservices-based SaaS platform running on AWS.
Operate and help maintain production-like environments for performance analysis, diagnosis, and regression testing.
Analyze application and infrastructure logs to identify, isolate, and help root-cause performance degradations.
Define, track, and report on performance KPIs (response times, throughput, error rates, resource utilization) and deliver trend analysis and projections to engineering leadership and product stakeholders.
Use usage and trend data to identify capacity risks and provide recommendations before they impact customers.
Collaborate with Platform Engineering, DevX, SDET, and Product teams to prioritize and validate performance improvements.
Partner with Security QE on the overlap between performance and security risk.
Identify and define nonfunctional performance tests for CI/CD pipeline gates (Integration, Regression, Post-Deployment).
Contribute to performance engineering standards, runbooks, and best practices within the QE organization.

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