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Senior Detection Engineer

Dicetek LLC
Abu Dhabi, UAE
Contract
Mid-Senior
Onsite
Discovered 1 weeks ago
CybersecurityDetection engineeringMicrosoft SentinelKusto Query Language (KQL)IBM QRadarAriel Query Language (AQL)

Full Job Posting

Essential Requirements

  • 8+ years in cybersecurity, including at least 4 years in detection engineering, threat detection, or SOC engineering.
  • Experience designing or leading detection engineering in a large or regulated organization.
  • Expert hands-on Microsoft Sentinel skills, including KQL, analytics rules, workbooks, watchlists, and automation.
  • Expert hands-on IBM QRadar skills, including AQL, custom rules, building blocks, DSMs, and reference sets.
  • Track record turning cyber threat intelligence into operational detections.
  • In-depth knowledge of MITRE ATT&CK, D3FEND, Cyber Kill Chain, Diamond Model, Pyramid of Pain, and NIST CSF.
  • Experience with detection-as-code, Git-based version control, and CI/CD pipelines.
  • Understanding of attacker tradecraft across Windows, Linux, Azure/M365, identity, and network environments.
  • Scripting skills in Python and/or PowerShell.

Desirable Experience and Certifications

  • Banking or financial services experience is highly desirable.
  • Experience with Sigma, YARA, threat intelligence platforms, purple teaming, adversary emulation, red team collaboration, Defender XDR, EDR, SOAR, threat hunting, or cyber threat intelligence is desirable.
  • Preferred certifications include GIAC certifications such as GCDA, GCIA, GCTI, GCIH, or GREM; Microsoft SC-200; IBM QRadar certifications; CISSP; OSCP; or equivalent.

Education

  • Bachelor's degree in Computer Science, Information Security, Engineering, or a related field, or equivalent professional experience.

Key Competencies

  • Build a detection engineering function and align it with business risk.
  • Communicate detection posture to executives, auditors, and regulators.
  • Mentor talent and promote good engineering practice across the team.
  • Make data-driven decisions supported by meaningful metrics.
  • Provide steady, structured leadership during significant incidents.

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