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Observability Automation Engineer

Job description

Job Description:

  • Design and develop observability platform comprising of monitoring, metrics, and logging systems.
  • Conceptualize and implement early anomaly detection (reduction of mean-time issue identification), pattern analysis, self-healing, infrastructure resizing, noise reduction and outage prediction.
  • Develop visualizations in Azure Monitor, GCP Looker, providing single pane views for end user experience, application, infrastructure & security
  • Design and develop end user device and network connectivity insights

Requirements:

  • Minimum 3 years in/with:
    • monitoring tools (e.g, Datadog, Instana, Azure Monitor, Google Operations, Prometheus, etc)
    • Programming and scripting with python and/or bash
    • Production experience in distributed tracing and debugging (e.g., jaeger, zipkin, open tracing, Application Insights, Google Cloud Trace/StackDriver, etc)
    • Experience in various visualization tools (GCP Looker, Azure Monitor, Grafana, etc)
    • Various agents and collectors (fluentbit, telegraf, bindplane, opentelemetry, splunk, etc)
    • Cloud platforms (Azure, GCP, AWS)

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