Description

You will design, deploy, and maintain Elastic Stack environments, optimizing ingestion pipelines, index strategies, and search queries for production-scale systems.

This role is remote.

Responsibilities

• Deploy and manage Elasticsearch, Kibana, Logstash, Beats, and Fleet across on-premises, public cloud (AWS, Azure, GCP, GovCloud), and containerized environments (Kubernetes, Docker, OpenShift).
• Build and optimize data ingestion pipelines, automation workflows, and integrations with enterprise tools like SIEMs, Splunk, and CrowdStrike.
• Write scripts and automation using Python, PowerShell, and Bash to streamline operations, data processing, and monitoring.
• Utilize Terraform, Ansible, and CI/CD pipelines to manage deployments and operational tasks.
• Lead design reviews, troubleshoot performance issues, and maintain documentation for architectures and runbooks.

Required Skills

• 10+ years of experience with deep, hands-on expertise in the Elastic Stack.
• Strong scripting and automation skills in Python, PowerShell, and Bash.
• Solid understanding of observability, logging, metrics, and distributed systems.
• Experience designing, deploying, and optimizing production-scale Elastic environments.
• Strong Linux/Unix, networking, and cloud platform knowledge.
• Ability to mentor and influence engineering teams on best practices.
• Must have a U.S. Passport and a Secret Clearance, at minimum.

Preferred Skills

• Familiarity with SIEM concepts, Elastic Security, or other SIEM/EDR platforms.
• Experience with containerization (Kubernetes, Docker, OpenShift) and automation tools (Terraform, Ansible).
• Elastic Certified Engineer, Security Engineer, or Observability Engineer certifications.

Key Skills

Education

Any Graduate