Job Description Job Description The OpportunityWe 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 ResponsibilitiesArchitect & 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 QualificationsClearance: Active secret or aboveExpertise: 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 ExtrasCertifications: 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
Job Description Job Description The OpportunityWe 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 ResponsibilitiesArchitect & 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 QualificationsClearance: Active secret or aboveExpertise: 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 ExtrasCertifications: 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
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