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.