Senior Elastic Engineer - Cloud Scale & Secret Clearance

ecsfederal

Massachusetts

On-site

USD 180,000 - 210,000

Full time

4 days ago
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Job summary

Everforth ECS is seeking a Sr. Elastic Engineer to design, deploy, and optimize large-scale Elastic Stack environments from Bedford, MA.

You will build ingestion pipelines, dashboards, and automation while collaborating with DevOps, cloud, and client teams to ensure reliability and performance. The role emphasizes scripting, monitoring, and architecture leadership, with responsibilities that include maintaining runbooks, staying current with Elastic features, and supporting on-site engagements

Qualifications

  • Hands-on expertise with Elastic Stack and operating at scale.
  • Strong scripting skills in Python, PowerShell, or Bash.
  • Solid Linux/Unix, networking, and cloud knowledge.
  • Able to mentor and influence engineering teams on Elastic best practices.
  • Excellent verbal and written communication skills.

Responsibilities

  • Design, deploy, and maintain Elastic Stack environments (Elasticsearch, Kibana, Logstash, Beats, Fleet).
  • Build and optimize ingestion pipelines, index strategies, dashboards, and automation workflows.
  • Write scripts and integrations to streamline operations and monitoring.
  • Deploy Elastic across on-prem, AWS/Azure/GCP, GovCloud, and container platforms (Kubernetes, Docker, OpenShift).
  • Lead architecture reviews and provide Elastic best-practices guidance; document runbooks and patterns.

Skills

Elastic Stack
Scripting (Python/PowerShell/Bash)
Linux/Unix
Cloud (AWS/Azure/GCP)
Observability/Monitoring
Mentoring/Leadership
Communication

Tools

Elasticsearch
Kibana
Logstash
Beats
Fleet
Terraform
Ansible
Docker
Kubernetes

Job description

Everforth ECS is seeking a Sr. Elastic Engineer to design, deploy, and optimize large-scale Elastic Stack environments from Bedford, MA.

You will build ingestion pipelines, dashboards, and automation while collaborating with DevOps, cloud, and client teams to ensure reliability and performance. The role emphasizes scripting, monitoring, and architecture leadership, with responsibilities that include maintaining runbooks, staying current with Elastic features, and supporting on-site engagements

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