Azure Cloud Monitoring Engineer
2 hours ago
Winnipeg, Manitoba, Canada
VySystems
Full-time
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Build Azure observability with monitoring, logging, and alerting expertise for infrastructure and Databricks data pipelines. Automate operational visibility with Terraform and Python scripting.
This Cloud Engineer role focuses on implementing monitoring solutions across Azure infrastructure and Databricks pipelines. You will use Azure Monitor, Log Analytics, Application Insights, KQL, and Terraform. The work includes dashboards, alert rules, notifications, and ServiceNow integration for incidents.
Key Responsibilities:
Implement monitoring, logging, and alerting for Azure infrastructure Monitor Databricks data pipelines and automate failure notifications Develop centralized dashboards and alert rules Integrate monitoring solutions with ServiceNow incident creation Build reusable Terraform modules and Python observability scripts Requirements:
Strong experience with Azure monitoring implementations Expertise in Azure Monitor, Log Analytics, and Application Insights Expertise with KQL and Terraform Experience with Azure DevOps, REST APIs, and webhooks Infrastructure monitoring experience; Grafana and Prometheus helpful Apply Azure Monitor, KQL, Terraform, and Python skills to strengthen observability across infrastructure and Databricks pipelines.
Implement monitoring, logging, and alerting for Azure infrastructure Monitor Databricks data pipelines and automate failure notifications Develop centralized dashboards and alert rules Integrate monitoring solutions with ServiceNow incident creation Build reusable Terraform modules and Python observability scripts Requirements:
Strong experience with Azure monitoring implementations Expertise in Azure Monitor, Log Analytics, and Application Insights Expertise with KQL and Terraform Experience with Azure DevOps, REST APIs, and webhooks Infrastructure monitoring experience; Grafana and Prometheus helpful Apply Azure Monitor, KQL, Terraform, and Python skills to strengthen observability across infrastructure and Databricks pipelines.