Senior Elastic Engineer

Job Description

The Sr. Elastic Engineer will design, deploy, optimize, and support enterprise-scale Elastic Stack solutions across cloud, hybrid, and on-premises environments. This role requires deep expertise in Elastic technologies, automation, observability, and cloud infrastructure while partnering with engineering, DevOps, and client teams to deliver scalable and resilient solutions.

Day-to-Day Responsibilities

• Design, deploy, and maintain Elastic Stack environments including Elasticsearch, Kibana, Logstash, Beats, and Fleet.
• Develop and optimize data ingestion pipelines, indexing strategies, search performance, dashboards, and visualizations.
• Build automation, scripting, and integrations using Python, PowerShell, Bash, or similar technologies.
• Deploy and support Elastic solutions across AWS, Azure, GCP, GovCloud, Kubernetes, Docker, OpenShift, and hybrid environments.
• Implement Infrastructure-as-Code and deployment automation using Terraform, Ansible, CI/CD pipelines, and container technologies.
• Integrate Elastic with SIEMs, security tools, endpoint telemetry, and cloud-native services.
• Monitor platform performance, troubleshoot issues, and optimize system reliability and scalability.
• Lead architecture reviews and provide technical guidance on Elastic best practices.
• Create and maintain technical documentation, deployment guides, runbooks, and operational procedures.
• Support client-facing engagements and collaborate across technical teams.
• Stay current on Elastic ecosystem advancements, certifications, and emerging technologies.

Minimum Requirements

• Active Secret Clearance (minimum required).
• Valid U.S. Passport.
• Deep hands-on experience with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Strong scripting and automation experience with Python, PowerShell, Bash, or similar languages.
• Experience designing, deploying, and optimizing large-scale production Elastic environments.
• Strong understanding of observability, logging, metrics, and distributed systems.
• Hands-on experience with cloud platforms including AWS, Azure, and/or GCP.
• Ability to lead technical discussions and mentor engineering teams.
• Excellent written and verbal communication skills.
• Ability and willingness to travel domestically and internationally for client engagements.

Preferred Qualifications

• Experience with Kubernetes, Docker, and OpenShift.
• Experience using Terraform, Ansible, and CI/CD pipelines.
• Experience integrating Elastic with Splunk, Elastic Security, CrowdStrike, and other telemetry sources.
• Background in DevOps, Site Reliability Engineering (SRE), or cloud platform engineering.
• Experience building enterprise observability platforms and large-scale monitoring solutions.
• Familiarity with OpenSearch, Solr, Lucene, Graylog, Datadog, or similar technologies.
• Experience working in government, defense, or highly regulated environments.

Preferred Certifications

• Elastic Certified Engineer
• Elastic Security Engineer
• Elastic Observability Engineer
• AWS Certified Solutions Architect
• Docker Certified Associate (DCA)
• Certified Kubernetes Administrator (CKA)
• HashiCorp Terraform Associate
• Red Hat Certified Specialist in Ansible Automation