Datadog Admin/SRE
Aditya KUnited StatesSENIORPosted 35m ago
DatadogObservabilityInfrastructure MonitoringApplication Performance Monitoring (APM)Log ManagementDashboardsAlertingIntegrationsAutomationCloud EnvironmentsAWSMicrosoft AzureGCPKubernetesDockerTerraformAnsiblePythonPowerShellServiceNowPagerDutyJiraMicrosoft TeamsSlack
About the Role
We are looking for an experienced Datadog Administrator / Observability Engineer with 8+ years of overall IT experience. This role focuses on designing, implementing, administering, and optimizing enterprise monitoring and observability solutions using Datadog.
Key Responsibilities
• Design, implement, administer, and maintain enterprise-scale Datadog environments
• Configure and manage Infrastructure Monitoring, Application Performance Monitoring (APM), Log Management, Real User Monitoring (RUM), Synthetic Monitoring, and Network Performance Monitoring
• Build and maintain Datadog dashboards, monitors, alerts, SLOs, and custom metrics
• Install, configure, upgrade, and troubleshoot Datadog Agents across Linux, Windows, containers, and cloud platforms
• Integrate Datadog with AWS, Microsoft Azure, GCP, Kubernetes, Docker, and other enterprise platforms
• Implement monitoring for Kubernetes clusters, containers, microservices, APIs, and distributed applications
• Configure log collection, parsing, pipelines, indexing, retention, and correlation
• Configure APM tracing and troubleshoot application performance issues using distributed traces, metrics, and logs
• Define monitoring standards, alert thresholds, tagging strategies, and observability best practices
• Automate Datadog configuration and deployment using Terraform, Ansible, Python, PowerShell, or CI/CD pipelines
• Configure integrations with incident-management and collaboration platforms such as ServiceNow, PagerDuty, Jira, Microsoft Teams, and Slack
• Perform troubleshooting, root-cause analysis, performance tuning, and monitoring optimization
• Manage Datadog users, teams, RBAC, API keys, application keys, and access controls
• Optimize Datadog usage, telemetry volume, log ingestion, custom metrics, and associated monitoring costs
• Work closely with application, cloud, DevOps, SRE, infrastructure, and security teams
• Prepare operational documentation, SOPs, architecture diagrams, and troubleshooting runbooks
Requirements
• 8+ years of overall IT experience, preferably with significant experience in monitoring, observability, DevOps, or SRE
• Strong hands-on expertise in Datadog administration
• Strong knowledge of APM, infrastructure monitoring, logs, metrics, traces, dashboards, monitors, and SLOs
• Experience with Linux and Windows administration
• Good knowledge of AWS / Azure / GCP monitoring environments
• Experience with Kubernetes, Docker, and container monitoring
• Experience with scripting and automation using Python, Shell/Bash, or PowerShell