# Senior Threat Detection Engineer - Madinah — COGNNA

Canonical: https://jobxdubai.com/jobs/li-4469716256-senior-threat-detection-engineer-madinah
Location: Medina, Saudi Arabia
Type: full_time · Level: senior
Monthly salary: AED 29,400 to 44,100 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-09-24
Apply: https://www.linkedin.com/jobs/view/senior-threat-detection-engineer-madinah-at-cognna-4469716256?_l=en

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## Description

As a Threat Detection Engineer at COGNNA, you'll design high-impact detection strategies, build powerful automation, and elevate SOC operations to a world-class standard. You'll also mentor rising cyber talent and collaborate with teams across threat intel, incident response, and platform engineering.

🔐 Advanced Threat Detection Engineering

• Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms

• Translate adversary TTPs (MITRE ATT&CK), threat intel, and vulnerability data into actionable logic

• Identify detection gaps and introduce new data sources to cover evolving threat landscapes

• Automate detection testing and maintain detection quality over time

⚙️ Platform Engineering & Optimization

• Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience

• Streamline log ingestion pipelines — from parsing to normalization and enrichment

• Build scripts and automations (Python, PowerShell) to enhance SOC efficiency

• Integrate tools across the SOC stack to enable seamless workflows and response.

🕵️‍♂️ Threat Hunting & Incident Response

• Collaborate with intel and IR teams to enrich detection use cases and support threat hunts

• Provide Tier-3+ support for incident investigations and post-mortem analysis

👥 Mentorship & SOC Maturity

• Improve SOC playbooks, SOPs, and detection engineering workflows

• Stay updated on global and regional threats — and evolve detection accordingly

• Ensure compliance alignment (e.g., NCA ECC, SAMA CSF)

Requirements

🎓 Education

• Bachelor's in Computer Science, Cybersecurity, or related field.

💼 Experience

• Minimum 3 years of experience with hands-on expertise in developing and maintaining complex detection use cases

• Strong understanding of attacker behavior, IR fundamentals, and digital forensics.

🔧 Technical Skills (You're a Power User!)

• SIEM: Expert in SIEM queries (SPL, KQL, Lucene), rule tuning, UEBA, and scaling

• EDR: Deep knowledge of EDR tools and endpoint detection tactics

• Network Security: Pro at packet analysis (Wireshark), IDS/IPS, and NetFlow

• Scripting: Advanced skills in Python and/or PowerShell for automation and integration

• OS Internals: Mastery of Windows/Linux/macOS logging, artifacts, and forensic value

• Threat Intelligence: Skilled in turning threat intel into real-time detection logic

• Cloud Security: Strong command of monitoring IaaS/PaaS/SaaS environments

🏅 Certifications (Highly Preferred)

• 🎓 SANS GIAC (GDAT, GMON, GCIA, GCTI, GCIH)

• 🐉 Offsec (OSDA)

• 🏫 INE (eCTHP, eCIR)

• 🧩 (ISC)² CISSP, CSSLP

🤝 Soft Skills

• Exceptional analytical thinking and creative problem-solving

• Excellent communication (English & Arabic), including technical reporting

• Strong mentorship abilities and a collaborative spirit

• Self-motivated, focused, and passionate about cyber defense

• Capable of juggling priorities under high-pressure situations

Benefits

🚀 Impact that Matters - Build products that shape the future of cybersecurity and protect organizations globally.

🏢 On-Site Collaboration - Be at the heart of innovation in our Almadina office, working side by side with passionate experts.

💡 Continuous Growth - Access to certifications, trainings, and opportunities to sharpen your expertise.

📈 Ownership Mindset - Benefit from our ESOP program and grow with COGNNA's success.

🤝 Culture of Trust - We empower talent, encourage ownership, and celebrate real outcomes.

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## Requirements

Education: Bachelor's in Computer Science, Cybersecurity, or related field.
Experience: Minimum 3 years of experience with hands-on expertise in developing and maintaining complex detection use cases; Strong understanding of attacker behavior, IR fundamentals, and digital forensics.

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