Elastic Site Reliability Engineer (Secret - Hybrid Remote)

• Operate, maintain, and optimize large-scale Elastic Stack environments supporting logging, search, observability, and telemetry operations.
• Ensure platform reliability, uptime, scalability, and performance across production mission systems.
• Manage Kubernetes-based Elastic deployments, including ECK operator environments.
• Develop and maintain automation for deployment workflows, monitoring, alerting, and incident response processes.
• Integrate Elastic infrastructure with SIEM and security tooling including Splunk, EDR platforms, and telemetry systems.
• Troubleshoot complex issues across distributed systems, infrastructure, and application environments.
• Implement and support observability frameworks including logging, metrics, tracing, and monitoring solutions.
• Support CI/CD pipelines and infrastructure-as-code initiatives within DevOps environments.
• Maintain operational runbooks, escalation procedures, and technical documentation.
• Participate in on-call support rotations and incident response activities.

• 5+ years of experience supporting Site Reliability Engineering, DevOps, or infrastructure operations environments.
• Strong hands-on experience with Elastic Stack in enterprise production environments.
• Advanced Kubernetes experience, including ECK operator deployments.
• Strong Linux/Unix administration and networking fundamentals.
• Experience supporting observability, telemetry, logging, and monitoring platforms.
• Experience working within secure, classified, federal, or highly regulated environments.
• Ability to work onsite at Hanscom AFB (MA) or Langley AFB (VA).
• Must have an active DoD Secret clearance

Desired Skills:

• Elastic certifications including Elastic Engineer, Security, or Observability.
• Experience with Terraform, Ansible, and CI/CD pipeline automation.
• Exposure to SIEM and EDR technologies including Splunk, CrowdStrike, or Trellix.
• Experience supporting GovCloud, DoD, or federal infrastructure environments.
• Prior experience supporting distributed logging or telemetry platforms.