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Sr. Cybersecurity Threat Detection Engineer

Job

Zillion Technologies

Remote

$176,800 Salary, Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 6/3/2026

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Job Description

"Work sponsorship is not available for this position. Applicants must be a United States citizen , Green Card holder or EAD Green Card holder at the direction of our client". Principle Cybersecurity Threat Detection Engineer Hybrid Role
  • 3 Days a week onsite in Vienna, VA // 2 Days Remote Long term ongoing with no end date Compensation $75/hr to $95/hr
  • This is the targeted compensation range for this role per hour.
Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. Benefits We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k). Role Overview The Principal Cybersecurity Detection Engineer
  • AI Driven Threats is a senior individual contributor responsible for advancing the effectiveness and maturity of the Cyber Security Operations Center (CSOC).
This role designs, operationalizes, and scales high‑confidence detection capabilities to address AI‑enabled threats and related emerging attack techniques. The position combines deep, hands‑on detection engineering expertise with applied knowledge of AI security and adversarial techniques. As a principal‑level individual contributor, this role drives the practical application of AI and emerging technologies within security operations, ensuring measurable improvements in detection fidelity, incident response outcomes, and analyst efficiency. Key Responsibilities AI & Emerging Threat Detection Serve as the senior technical subject matter expert for AI‑focused threat detection within the CSOC. Design, develop, deploy, and maintain advanced detection content across SIEM and security platforms to identify AI‑enabled and emerging attack techniques. Engineer high‑confidence detections using complex query languages and techniques (e.g., SPL, KQL, regex, YARA, macros, lookups) across on‑premises, hybrid, and cloud environments. Continuously evaluate detection coverage and fidelity, tuning or retiring content as adversary tactics, data sources, and operational needs evolve. Research emerging AI and advanced technology threats (e.g., prompt injection, model poisoning, adversarial AI, data exposure) and translate them into actionable detection strategies. Align detection use cases to industry frameworks such as
MITRE ATT&CK, MITRE
ATLAS, and
NIST CSF.
Partner with threat intelligence, detection engineering, threat hunting, red team, and architecture teams to proactively strengthen detection capabilities. Support proofs of concept and pilots that apply AI to detection engineering and SOC operations, ensuring solutions deliver measurable operational value. Mentor and guide senior detection engineers and analysts on AI threat concepts and advanced detection strategies. Communicate complex technical findings clearly to technical teams, leadership, and executive stakeholders. Required Qualifications 7+ years of experience in cybersecurity operations, detection engineering, or SIEM engineering in a senior individual contributor role. Advanced expertise in detection engineering across the full content lifecycle (design, testing, deployment, tuning, and decommissioning). Hands‑on experience applying AI or machine learning capabilities within SOC or detection workflows. Familiarity with AI security frameworks (e.g., MITRE
ATLAS, OWASP AI
Security). Advanced proficiency with SIEM query languages and multi‑source telemetry across on‑prem, cloud (IaaS/PaaS/SaaS), and hybrid environments. Strong understanding of adversary TTPs, including emerging AI‑enabled threats. Demonstrated ability to analyze large‑scale log and telemetry datasets to identify threats and detection gaps. Strong communication skills, with the ability to present complex technical concepts to both technical and non‑technical audiences. "We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law."
Pay:
$75.00
  • $95.
00 per hour
Benefits:
401(k) 401(k) matching Dental insurance Health insurance Life insurance Vision insurance
Work Location:
Hybrid remote in Vienna, VA 22180 Sr. Cybersecurity Threat Detection Engineer 3.5 3.5 out of 5 stars Vienna, VA 22180 Hybrid work $75
  • $95 an hour
  • Contract Zillion Technologies 28 reviews $75
  • $95 an hour
  • Contract "Work sponsorship is not available for this position. Applicants must be a United States citizen , Green Card holder or EAD Green Card holder at the direction of our client". Principle Cybersecurity Threat Detection Engineer Hybrid Role
  • 3 Days a week onsite in Vienna, VA // 2 Days Remote Long term ongoing with no end date Compensation $75/hr to $95/hr
  • This is the targeted compensation range for this role per hour.
Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. Benefits We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k). Role Overview The Principal Cybersecurity Detection Engineer
  • AI Driven Threats is a senior individual contributor responsible for advancing the effectiveness and maturity of the Cyber Security Operations Center (CSOC).
This role designs, operationalizes, and scales high‑confidence detection capabilities to address AI‑enabled threats and related emerging attack techniques. The position combines deep, hands‑on detection engineering expertise with applied knowledge of AI security and adversarial techniques. As a principal‑level individual contributor, this role drives the practical application of AI and emerging technologies within security operations, ensuring measurable improvements in detection fidelity, incident response outcomes, and analyst efficiency. Key Responsibilities AI & Emerging Threat Detection Serve as the senior technical subject matter expert for AI‑focused threat detection within the CSOC. Design, develop, deploy, and maintain advanced detection content across SIEM and security platforms to identify AI‑enabled and emerging attack techniques. Engineer high‑confidence detections using complex query languages and techniques (e.g., SPL, KQL, regex, YARA, macros, lookups) across on‑premises, hybrid, and cloud environments. Continuously evaluate detection coverage and fidelity, tuning or retiring content as adversary tactics, data sources, and operational needs evolve. Research emerging AI and advanced technology threats (e.g., prompt injection, model poisoning, adversarial AI, data exposure) and translate them into actionable detection strategies. Align detection use cases to industry frameworks such as
MITRE ATT&CK, MITRE
ATLAS, and
NIST CSF.
Partner with threat intelligence, detection engineering, threat hunting, red team, and architecture teams to proactively strengthen detection capabilities. Support proofs of concept and pilots that apply AI to detection engineering and SOC operations, ensuring solutions deliver measurable operational value. Mentor and guide senior detection engineers and analysts on AI threat concepts and advanced detection strategies. Communicate complex technical findings clearly to technical teams, leadership, and executive stakeholders. Required Qualifications 7+ years of experience in cybersecurity operations, detection engineering, or SIEM engineering in a senior individual contributor role. Advanced expertise in detection engineering across the full content lifecycle (design, testing, deployment, tuning, and decommissioning). Hands‑on experience applying AI or machine learning capabilities within SOC or detection workflows. Familiarity with AI security frameworks (e.g., MITRE
ATLAS, OWASP AI
Security). Advanced proficiency with SIEM query languages and multi‑source telemetry across on‑prem, cloud (IaaS/PaaS/SaaS), and hybrid environments. Strong understanding of adversary TTPs, including emerging AI‑enabled threats. Demonstrated ability to analyze large‑scale log and telemetry datasets to identify threats and detection gaps. Strong communication skills, with the ability to present complex technical concepts to both technical and non‑technical audiences. "We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law."
Pay:
$75.00
  • $95.
00 per hour
Benefits:
401(k) 401(k) matching Dental insurance Health insurance Life insurance Vision insurance
Work Location:
Hybrid remote in Vienna, VA 22180

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