Posted 2mo ago

Sr. Elastic Engineer

@ ECS
Colorado Springs, Colorado, United States
$170k-$230k/yrOnsiteFull Time
Responsibilities:Design Elastic, Deploy Elastic, Collaborate teams
Requirements Summary:Hands-on Elastic Stack expertise; scripting/automation; Linux, cloud; collaboration across teams; security clearance.
Technical Tools Mentioned:Elastic Stack, Elasticsearch, Kibana, Logstash, Beats, Fleet, Python, PowerShell, Bash, Terraform, Ansible, CI/CD, Docker, Kubernetes, OpenShift, AWS, Azure, GCP
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Job Description

ECS is seeking a Sr. Elastic Engineer to work in our Colorado Springs, CO office.  Please Note: This position is contingent upon additional funding.

 

Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will implement, optimize, and maintain Elastic Stack environments at scale while contributing to architecture, automation, and integrations that improve reliability, performance, and operational efficiency.

We are seeking a Sr. Elastic Engineer to join our Managed Security Services (MSSP) team. The ideal candidate has hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows.

 

Key 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, public cloud (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 and operational tasks.
  • 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.

Salary Range: $170,000 - $230,000

General Description of Benefits