Datadog SME w/DevOps
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.
IS CANDIDATE LOCAL TO DALLAS
Does candidate have 10+ years of overall IT Operations, DevOps, Cloud Engineering, or Infrastructure experience
Does candidate have 5+ years of hands-on Datadog implementation and administration experience
Does candidate have Proven experience managing enterprise-scale monitoring environments supporting thousands of servers, applications, and cloud resources.
Does candidate have Extensive experience in DevOps transformation and automation initiatives
Does candidate have Experience designing monitoring architectures for hybrid cloud and multi-cloud environments.
Is candidate able to deliver the key responsibilities in the JD
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. The ideal candidate will possess deep expertise in Datadog, cloud-native architectures, DevOps automation, Site Reliability Engineering (SRE), and enterprise-scale monitoring strategies across hybrid and multi-cloud environments.
This role will serve as the technical authority for observability, performance monitoring, logging, incident management, and platform reliability while driving monitoring best practices and operational excellence across the organization.
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 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 to improve platform reliability.
• Automate monitoring deployments using Infrastructure-as-Code (Terraform, Ansible, CI/CD pipelines).
• Perform root cause analysis and troubleshooting for production issues.
• Establish monitoring best practices for microservices, containers, APIs, databases, and cloud-native workloads.
• Support capacity planning, performance tuning, and platform optimization initiatives.
Required Skills
• 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:
o DataDog Infrastructure Monitoring
o APM (Application Performance Monitoring)
o Log Management
o Synthetic Monitoring
o Network Performance Monitoring
o Real User Monitoring (RUM)
o 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.
Preferred Certifications
• Datadog Certified Professional
• Azure Administrator / Azure DevOps Engineer
• AWS Solutions Architect or DevOps Engineer
• Kubernetes (CKA/CKAD)
• Terraform Associate