Datadog SME with DevOps Experience
Sunita KumariUnited StatesMIDPosted 4h ago
DatadogDevOpsCloud OperationsEnterprise MonitoringKubernetesDockerOpenShiftAzureAWSGCPLinuxWindowsCI/CDAzure DevOpsJenkinsGitHub ActionsGitLabPythonPowerShellBashTerraformInfrastructure as CodePrometheusGrafanaSplunkDynatraceNew RelicAnsible
About the Role
We are looking for a highly experienced Datadog Subject Matter Expert (SME) with strong DevOps, Cloud Operations, and Enterprise Monitoring experience to lead the design, implementation, optimization, and governance of enterprise observability platforms.
Key Responsibilities
• Lead the design, implementation, optimization, and governance of enterprise observability platforms
• Manage enterprise-scale monitoring environments supporting thousands of servers, applications, and cloud resources
• Design monitoring architectures across hybrid and multi-cloud environments
• Expertise in Datadog Infrastructure Monitoring, APM, Log Management, Synthetic Monitoring, Network Performance Monitoring, and Real User Monitoring (RUM)
• Act as the primary escalation point for complex monitoring and performance issues
• Develop enterprise observability dashboards, reports, and alerting frameworks
• Integrate Datadog with Azure, AWS, GCP, Kubernetes, OpenShift, and on-premises infrastructure
• Implement proactive monitoring and incident management processes
• Configure custom metrics, monitors, anomaly detection, and Service Level Objectives (SLOs)
• Collaborate with DevOps, Cloud, Infrastructure, Security, and Application teams
• Automate monitoring deployments using Terraform, Ansible, and CI/CD pipelines
• Perform root cause analysis and troubleshoot production issues
• Establish monitoring best practices for microservices, containers, APIs, databases, and cloud-native workloads
• Support capacity planning, performance tuning, and platform optimization
Requirements
• 10+ years of overall IT Operations, DevOps, Cloud Engineering, or Infrastructure experience
• 5+ years of hands-on Datadog implementation and administration experience
• Experience managing enterprise-scale monitoring environments
• Strong experience in DevOps transformation and automation initiatives
• Experience designing monitoring architectures across hybrid and multi-cloud environments
• Expertise in Datadog Infrastructure Monitoring, APM, Log Management, Synthetic Monitoring, Network Performance Monitoring, and Real User Monitoring (RUM)
• Strong knowledge of Incident Management and On-Call processes
• Hands-on experience with Kubernetes, Docker, and OpenShift
• Cloud experience with Azure, AWS, and/or GCP
• Good Linux and Windows administration skills
• Experience with CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, or GitLab
• Scripting experience with Python, PowerShell, Bash, or Shell
• Experience implementing monitoring through Terraform and Infrastructure as Code (IaC)
• Knowledge of Prometheus, Grafana, Splunk, Dynatrace, or New Relic is preferred