Datadog Tester​/Observability QA Engineer

Datadog Tester / Observability QA Engineer

Job Title:

Datadog Tester / Observability QA Engineer

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.

• Validate application, API, and infrastructure metrics collected in Datadog, ensuring correct host, container, and service-level metrics and verifying metric thresholds, anomalies, and aggregation accuracy.
• Validate log ingestion from applications, APIs, servers, and cloud services, ensuring log parsing, indexing, tagging, and retention policies, and verifying log search, filters, and correlation with metrics.
• Test distributed tracing for APIs and microservices, validate service maps, latency, error rates, and throughput, and ensure trace-to-log and trace-to-metric correlation.
• Test alerts, monitors, and notifications (Email, Slack, Pager Duty, etc.), validate alert conditions, severity levels, escalation rules, and perform negative testing to avoid false positives/negatives.
• Validate Datadog dashboards for accuracy and usability, ensuring correct widgets, queries, and time‑series data, and verify role‑based access and dashboard sharing.
• Test Datadog integrations with cloud providers (AWS/Azure/GCP), Kubernetes, Docker, databases, and CI/CD tools, validate environment separation (Dev, QA, Stage, Prod).
• Work with Dev, Dev Ops, SRE, and Product teams, report observability gaps and monitoring defects, and assist in production issue root cause analysis (RCA).

Entry level

Full‑time

Information Technology

Software Development

Referrals increase your chances of interviewing k by 2x

Apply BELOW