Jobs → Data & Analytics → Datadog SME with DevOps Experience

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

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