Senior Elastic Stack Engineer - Scale, Automate & Observe

ECS Corporate Services; Hampton (VA); On-site; USD 175,000 - 210,000; Full time

Job summary

Everforth ECS in Hampton, VA seeks a Sr. Elastic Engineer to design, deploy, and maintain Elastic Stack environments at scale, collaborating with cross-functional teams to ensure reliability and performance. The role emphasizes scripting, automation, and integration work across cloud and on-prem platforms.

Ideal candidates bring hands-on Elastic Stack experience, strong Linux and cloud skills, and the ability to mentor engineers. Security clearance and U.S.

Qualifications

• Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Strong scripting and automation skills (Python, PowerShell, Bash, etc.).
• 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 (AWS, Azure, GCP).
• Ability to mentor, guide, and influence engineering teams on Elastic best practices.
• Outstanding verbal and written communication skills.
• Willingness and ability to support domestic or international on-site engagements.
• U.S. Passport required.
• Must have a Top Secret Clearance, at minimum.

Responsibilities

• Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet.
• Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows.
• Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring.
• Deploy Elastic across platforms, including on-premises, AWS, Azure, GCP, GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).
• Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments.
• Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources.
• Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability.
• Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams.
• Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices.
• Stay current with Elastic features, certifications, and emerging platform capabilities.

Skills

Elastic Stack

Scripting & Automation

Communication

Tools

Elasticsearch

Kibana

Logstash

Beats & Fleet

Terraform

Ansible

Docker

Kubernetes

OpenShift

CI/CD

Job description

Everforth ECS in Hampton, VA seeks a Sr. Elastic Engineer to design, deploy, and maintain Elastic Stack environments at scale, collaborating with cross-functional teams to ensure reliability and performance. The role emphasizes scripting, automation, and integration work across cloud and on-prem platforms.

Ideal candidates bring hands-on Elastic Stack experience, strong Linux and cloud skills, and the ability to mentor engineers. Security clearance and U.S.