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.
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