Über
Datadog Tester / Observability QA Engineer
Job Summary
We are looking for a
Datadog Tester
responsible for validating monitoring, logging, tracing, and alerting implementations using
Datadog . The role ensures accurate observability, correct alerting, and reliable dashboards across applications, APIs, and infrastructure.
Key Responsibilities
Monitoring & Metrics Testing Validate application, API, and infrastructure metrics collected in Datadog Ensure correct host, container, and service-level metrics Verify metric thresholds, anomalies, and aggregation accuracy Log Management Testing
Validate log ingestion from applications, APIs, servers, and cloud services Ensure log parsing, indexing, tagging, and retention policies Verify log search, filters, and correlation with metrics APM & Tracing Validation
Test distributed tracing for APIs and microservices Validate service maps, latency, error rates, and throughput Ensure trace-to-log and trace-to-metric correlation Alerting & Incident Validation
Test alerts, monitors, and notifications (Email, Slack, PagerDuty, etc.) Validate alert conditions, severity levels, and escalation rules Perform negative testing to avoid false positives/negatives Dashboard Testing
Validate Datadog dashboards for accuracy and usability Ensure correct widgets, queries, and time-series data Verify role-based access and dashboard sharing Integration & Environment Testing
Test Datadog integrations with cloud providers (AWS/Azure/GCP), Kubernetes, Docker, databases, and CI/CD tools Validate environment separation (Dev, QA, Stage, Prod) Collaboration & Reporting
Work with Dev, DevOps, SRE, and Product teams Report observability gaps and monitoring defects Assist in production issue root cause analysis (RCA)
Sprachkenntnisse
- English
Hinweis für Nutzer
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