Experience migrating SIEM tools (e.g., New Relic, Splunk, AppDynamics)
Hands-on Datadog experience (dashboards, alerts, log analysis) with scripting in Python, PowerShell, or Bash; strong Windows and Linux administration
Requirements:
Lead design and implementation of Datadog monitoring across infrastructure, applications, and services; collaborate with IT and development teams to ensure integration
Integrate Datadog SaaS with cloud platforms, container orchestration, and on-premises hosts; manage Datadog Agent-based integrations, deployments, YAML configurations, and revision control; coordinate with DevOps to automate monitoring and responses
Serve as primary Datadog expert: provide guidance, stay updated on features/trends, reproduce issues, and own Datadog integrations
Lead a monitoring engineering team; mentor/train engineers; design performance monitoring to identify bottlenecks; maintain documentation and conduct knowledge-sharing sessions
Job description
Datadog SME – 100% Remote Location - Seattle, WA Duration: 12 Months Plus project Start Date – Immediately Rate – DOE
Responsibilities
Lead the design and implementation of Datadog solutions to monitor and manage the organization's diverse infrastructure, applications, and services; collaborate with IT and development teams to ensure effective integration of Datadog into the existing technology stack
Integrate Datadog SaaS with cloud platforms, container orchestration tools, as well as on-premises hosts to provide comprehensive monitoring across the entire technology stack; participate with Datadog Agent-based integrations, deployments, custom YAML configurations, and revision control options; coordinate with DevOps teams to automate monitoring and response processes
Serve as the primary point of contact for Datadog-related inquiries, providing expert guidance and best practices; stay updated on the latest Datadog features, integrations, and industry trends to optimize monitoring strategies; highly knowledgeable specialist in one or more Datadog product area(s); reproduce technical issues and dive into Datadog's integrations
Lead a team of monitoring engineers, providing mentorship, training, and technical guidance; collaborate with cross-functional teams to align monitoring strategies with business goals and objectives
Design and implement performance monitoring solutions using Datadog to identify and address potential bottlenecks and inefficiencies; work closely with system administrators and engineers to optimize resource utilization and enhance overall system performance
Maintain detailed documentation of Datadog configurations, monitoring policies, and incident response procedures; conduct regular knowledge-sharing sessions to empower the broader technical team with Datadog expertise
Qualifications
Minimum 10+ years of recent experience in the DevOps SRE space with at least 7+ years of Datadog specific experience
relevant certifications such as Datadog Certified Associate or Datadog Certified Professional are preferred
Experience with SIEM (Security Information and Event Management) migration (from tools such as New Relic, Splunk, AppDynamics, etc)
Extensive hands-on experience with Datadog, including dashboards, alerts, and log analysis; scripting experience using Python, Powershell, and/or Bash
Possesses an explorer character with excellent knowledge of Windows and Linux administration
