Drimva

Dark Wolf Solutions

Threat Detection Engineer (Cloud Security)

$100K–$160K

Ogden, UT +1 · Full-time · Posted Aug 31, 2026

Location
Ogden, UT
Ogden, Utah, United States
Experience
4+ years of relevant experience; 2+ years authoring and tuning detection logic; 2+ years applying DoD cybersecurity requirements.
Education
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Visa sponsorship
U.S. citizenship required.

About the job

Designs and deploys detection logic across on-premises and AWS GovCloud environments, hunts for threats, and automates response workflows using Detection-as-Code and AI/ML capabilities.

What you'll do

  • Build, test, and maintain detection rules for cloud, container, and host activity; analyze AWS and on-prem telemetry.
  • Hunt for malicious activity and improve alert fidelity through analysis of false positives and negatives.
  • Develop automated response playbooks and use AI/ML to support query generation, threat intelligence correlation, and detection development.

What they ask for

  • At least 4 years of relevant experience, including 2+ years authoring and tuning detection logic in Splunk Enterprise and the ELK Stack.
  • Experience applying DoD cybersecurity requirements and responding to incidents in a vSOC, SOC, or CSSP; direct AWS GovCloud telemetry experience.
  • Experience using GitLab for Detection-as-Code, CI/CD, version control, and DevSecOps workflows.
  • Required DoDD 8140 IAT CSSP certification before hire; bachelor’s degree in a related field; U.S. citizenship and active Top Secret/SCI clearance.

Nice to have

  • Experience with Terraform or CloudFormation; familiarity with container security and Kubernetes threat modeling.
  • Experience with RHEL, post-incident computer forensics, or advising on DoD cyber regulations.

Pay

$100,000.00 - $160,000.00 USD base salary

Tools

Splunk Enterprise, ELK Stack (Elasticsearch, Logstash, Kibana), AWS GovCloud, GitLab, Terraform, CloudFormation, Falco, RHEL

AI focus

Uses AI-assisted analysis and ML features to improve query generation, threat intelligence correlation, detection development, and incident response.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)