Jobs → Data & Analytics → Datadog SME with DevOps

Datadog SME with DevOps

Syed R.United StatesSENIORPosted 3h ago
DatadogDevOpsCloud OperationsEnterprise MonitoringCloud-native architecturesDevOps automationSite Reliability EngineeringHybrid cloudMulti-cloud environmentsObservabilityPerformance monitoringLoggingIncident managementKubernetesDockerOpenShiftAzureAWSGCPLinuxWindowsCI/CD toolsAzure DevOpsJenkinsGitHub ActionsGitLabPythonPowerShellBashShellTerraformInfrastructure as CodePrometheusGrafanaSplunkDynatraceNew Relic
About the Role We are seeking a highly experienced Datadog Subject Matter Expert (SME) with 10+ years of DevOps, Cloud Operations, and Enterprise Monitoring experience to lead the design, implementation, optimization, and governance of enterprise observability platforms. Key Responsibilities • Define and implement enterprise monitoring and observability strategies. • Lead Datadog architecture, design, governance, and operational excellence initiatives, APM, RUM, synthetics, and cloud integrations. • Establish monitoring standards, naming conventions, tagging frameworks, and dashboard standards. • Develop monitoring maturity roadmaps aligned with business objectives. • Act as the primary escalation point for complex monitoring and performance-related issues. • Develop enterprise observability standards, dashboards, reports, and alerting frameworks. • Integrate Datadog with Azure, AWS, GCP, Kubernetes, OpenShift, and other technologies. Requirements • 10+ years of overall IT Operations, DevOps, Cloud Engineering, or Infrastructure experience. • 5+ years of hands-on Datadog implementation and administration experience. • Proven experience managing enterprise-scale monitoring environments supporting thousands of servers, applications, and cloud resources. • Extensive experience in DevOps transformation and automation initiatives. • Experience designing monitoring architectures for hybrid cloud and multi-cloud environments. • Strong knowledge of DataDog Infrastructure Monitoring, APM, Log Management, Synthetic Monitoring, Network Performance Monitoring, Real User Monitoring (RUM), and Incident Management & On-Call Processes. • Experience with Kubernetes, Docker, OpenShift. • Experience with Azure, AWS, and/or GCP cloud platforms. • Good Linux and Windows administration skills. • Expertise in 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 practices. • Knowledge of Prometheus, Grafana, Splunk, Dynatrace, or New Relic is preferred.

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