Senior Elastic Stack Engineer - Scale & Automate Deployments

ecsfederal; Fort Meade (MD); On-site; USD 180,000 - 205,000; Full time

Benefits offered by this job

Secret Clearance

On-site engagements in MD/VA

Job summary

ECS Federal seeks a Sr. Elastic Engineer to design, deploy, and maintain Elastic Stack environments across on-prem and cloud platforms from Fort Meade, MD or Quantico, VA. Lead ingestion pipelines, dashboards, and automation to improve reliability and performance.

The role requires hands-on Elastic expertise, scripting, and the ability to collaborate with engineering, DevOps, and client teams. Security clearances and willingness for on-site engagements are essential.

Qualifications

• Proficient in Elastic Stack design, deployment, and maintenance.
• Experience with on-prem and cloud deployments (AWS/Azure/GCP).
• Strong scripting and automation, mentoring others a plus.

Responsibilities

• Design, deploy, and maintain Elastic Stack environments (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Build ingestion pipelines, index strategies, dashboards, and automation workflows.
• Write scripts and integrations (Python, PowerShell, Bash) to automate ops and monitoring.
• Deploy Elastic across on-prem, cloud, GovCloud, and container platforms (Kubernetes, Docker, OpenShift).
• Leverage Terraform, Ansible, CI/CD, and Docker for deployments and operations.
• Integrate Elastic with SIEMs and telemetry sources (Splunk, CrowdStrike).
• Monitor health, troubleshoot performance, and optimize reliability and scalability.
• Lead design reviews and share Elastic best practices across teams.
• Maintain architectures, runbooks, and deployment documentation.
• Stay current with Elastic features and certifications.

Skills

Scripting

Elastic Stack

Cloud platforms

Mentoring

Observability

Tools

Elastic Stack

Terraform

Ansible

Docker

Kubernetes

OpenShift

CI/CD

Python

Job description

ECS Federal seeks a Sr. Elastic Engineer to design, deploy, and maintain Elastic Stack environments across on-prem and cloud platforms from Fort Meade, MD or Quantico, VA. Lead ingestion pipelines, dashboards, and automation to improve reliability and performance.

The role requires hands-on Elastic expertise, scripting, and the ability to collaborate with engineering, DevOps, and client teams. Security clearances and willingness for on-site engagements are essential.