We are looking for a Senior Engineer to architect and manage high-performance data solutions for federal customers. In this role, you will build resilient Elastic Stack environments across diverse cloud and on-premises infrastructures, ensuring seamless data ingestion and operational visibility.
Core Responsibilities
Architect & Deploy: Design and manage full-stack Elastic environments (ELK, Beats, Fleet) across AWS, Azure, GCP, and Kubernetes.
Optimize Pipelines: Build sophisticated ingestion workflows, index strategies, and automated dashboards.
Automate Everything: Use Python, Terraform, and Ansible to streamline deployments and system monitoring.
Integrate Security: Connect Elastic with SIEMs (Splunk), EDR (CrowdStrike), and various telemetry sources.
Lead & Mentor: Drive technical design reviews and establish architectural best practices.
Required Qualifications
Clearance: Active secret or above
Expertise: Advanced hands-on experience with the Elastic Stack in production-scale environments.
Automation: Proficient in scripting (Python/Bash) and IaC tools (Terraform/Ansible).
Platform Knowledge: Deep understanding of Linux, networking, and containerization (Docker/K8s).
Communication: Ability to guide engineering teams and support international/domestic client engagements.
Preferred Extras
Certifications: Elastic Certified Engineer, CKA, or AWS Solutions Architect.
Security Background: Experience with SIEM/EDR frameworks or Elastic Security.
Ecosystem Knowledge: Familiarity with competing tech like Splunk, OpenSearch, or Datadog