Sr. Elastic Engineer

Sr. Elastic Engineer
Hampton VA (Onsite)
Secret Clearance
$180k-$200k

Onsite Requirement: 3x a week minimum
Elastic SRE/Observability Engineer
ECK/Kubernetes
Knowledge of Kubernetes and able to create visualization diagrams and dashboards for monitoring network bandwidth
Update data collectors on clusters.
Plan and coordinate cluster shutdowns and data retention activities.
Elastic Certified


Job Description
Client is seeking a Sr. Elastic Engineer to join our team in Hampton VA. This position is contingent upon additional funding.

We are seeking a Sr. Elastic Engineer to join our Professional 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.

Required Skills
Deep hands-on expertise with Elastic Stack (Elasticsearch Kibana Logstash Beats Fleet).
Strong scripting and automation skills (Python PowerShell Bash etc.).
Solid understanding of observability logging metrics and distributed systems.
Experience designing deploying and optimizing production-scale Elastic environments.
Strong Linux/Unix networking and cloud platform knowledge (AWS Azure GCP).
Ability to mentor guide and influence engineering teams on Elastic best practices.
Outstanding verbal and written communication skills.
Willingness and ability to support domestic or international on-site engagements.
U.S. Passport required.
Must have a Secret Clearance at minimum.

Desired Skills
Familiarity with SIEM concepts Elastic Security or other SIEM/EDR platforms.
Experience with containerization and orchestration (Kubernetes Docker OpenShift).
Experience with automation/orchestration tools (Terraform Ansible CI/CD pipelines).
Familiarity integrating Elastic with endpoint telemetry or cloud-native tools.
Certifications (preferred):
Elastic Certified Engineer Elastic Security Engineer Elastic Observability Engineer
AWS Certified Solutions Architect or equivalent
Docker Certified Associate (DCA)
Certified Kubernetes Administrator (CKA)
HashiCorp Certified: Terraform Associate
Red Hat Certified Specialist in Ansible Automation
Prior experience in DevOps Site Reliability Engineering or cloud platform roles is a plus.
Experience designing dashboards observability frameworks and large-scale workflows.
Experience with the below:
Platforms: On-premises Public Cloud (AWS Azure GCP) GovCloud hybrid deployments
Containerization: Kubernetes Docker OpenShift
Automation: Terraform Ansible CI/CD pipelines Docker
Integrations: SIEMs (Splunk Elastic Security) endpoint/security telemetry (CrowdStrike) cloud-native services
Competing Technologies:
Splunk OpenSearch Solr Lucene Graylog Datadog Elastic Cloud alternatives