Define and execute test strategies for observability, monitoring, and automation platforms
Design, implement, and maintain automated tests for APIs, integrations, and end to end flows
Validate the correctness, consistency, and reliability of metrics, logs, and events
Test dashboards and visualizations built with Grafana and Kibana
Verify alerting and event driven automation logic, ensuring accurate detection and reliable automated actions
Test data flows across timeseries and relational storage layers
Collaborate closely with developers to embed quality early (“shift left”)
Participate in incident reviews and root cause analysis to prevent regressions
Contribute to improving QA practices as the automation platform grows in complexity and criticality

Experience as a QA Engineer / Software Test Engineer in a software development environment
Strong understanding of testing fundamentals (test design, exploratory testing, regression testing)
Hands-on experience with test automation, especially for APIs and backend systems
Experience testing datadriven and eventdriven systems
Ability to collaborate closely with software engineers and challenge requirements constructively
Strong analytical mindset and attention to detail
Nice to have
Experience with observability, monitoring, or automation platforms
Familiarity with Elastic, Kibana, Grafana, InfluxDB, PostgreSQL
Experience testing distributed or eventdriven architectures
Python knowledge for test automation or internal tooling
Experience integrating tests into CI/CD pipelines
Background in Agile / Scrum teams

QA Engineer – Observability, Monitoring

Key skills