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Elastic Cloud Security Engineer

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Onsite

Elastic Cloud Security Engineer

TekStream Solutions

Elastic Cloud Security Engineer

Skills

PythonPyTorchGitLabCybersecurityData AnalysisMachine LearningAIAWSElasticsearchLinuxKubernetesELK StackTerraform

6 days ago

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Important information


Contract type:

Permanent

Salary:

$150,000 – $180,000 / year

Location:

United States

Work mode:

Onsite

Published on:

22 October 2026

What they need


Position : Elastic Cloud Security Engineer

Location: Hanscom AFB, MA 01731 – Onsite 5 Days a Week

🇺🇸 Citizenship: U.S. Citizens only

🔐 Security Clearance: Must be eligible to obtain a Secret clearance; candidates can start without an active clearance

✈️ Relocation Assistance Available

About the Opportunity

We are seeking an experienced Elastic Cloud Security Engineer to serve as a primary technical resource supporting advanced cybersecurity operations in a government environment. The ideal candidate will have strong hands-on experience with the Elastic Stack, cloud security, SIEM operations, and security automation, along with the ability to work independently and collaborate effectively with a technical team.

Key Responsibilities & Qualifications

  • 5+ years of experience administering the Elastic Stack, including Elasticsearch, Kibana, Logstash, Beats, and/or Fleet.
  • Experience with Elastic Security detection rules, alerts, case management, dashboards, and threat hunting.
  • Strong knowledge of log ingestion pipelines, parsing, enrichment, normalization, and Elastic Common Schema (ECS).
  • Experience with Elasticsearch index lifecycle policies, index templates, and data streams at scale.
  • Background in government cybersecurity, SOC, SIEM operations, or defensive cyber.
  • Cloud experience, preferably AWS, including security log collection from cloud platforms, endpoints, and network devices.
  • Experience with Linux, Terraform, and GitLab.
  • Knowledge of AI/ML concepts for security analytics, anomaly detection, behavioral baselining, and threat scoring.
  • Bachelor’s degree and ability to obtain a Secret security clearance.

Nice to Have

  • Department of Defense (DoD) experience.
  • Elastic ML, UEBA, Elastic AI Assistant, or LLM integration experience.
  • Python, scikit-learn, or PyTorch for security analytics.
  • Elastic Agent Fleet management, ES|QL, EQL, and detection-as-code.
  • Kubernetes certification or experience with classified environments such as IL4, IL5, or IL6.
  • Experience working in Agile environments.

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