Observability Automation Engineer

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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