ECS Federal is looking for a Senior Elastic Engineer to implement, optimize, and maintain Elastic Stack environments at scale. You'll contribute to architecture, automation, and integrations to improve reliability, performance, and operational efficiency.

What You'll Do

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 (using 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.

What We're Looking For

Hands-on experience with Elastic Stack.
Experience designing, coding, and deploying complex systems.

Technical Stack

Elastic Stack: Elasticsearch, Kibana, Logstash, Beats, Fleet
Scripting & Automation: Python, PowerShell, Bash
Platforms & Cloud: AWS, Azure, GCP, GovCloud
Containers & Orchestration: Kubernetes, Docker, OpenShift
Infrastructure as Code: Terraform, Ansible
Process & Integration: CI/CD pipelines, SIEMs, Splunk, CrowdStrike