Threat Detection Engineer at COGNNA
Riyadh, Riyadh Region, Saudi Arabia -
Full Time


Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

0.0

Posted On

21 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Threat Detection Engineering, SIEM, EDR, Python, PowerShell, Packet Analysis, MITRE ATT&CK, Incident Response, Digital Forensics, Cloud Security, Network Security, Threat Hunting, UEBA, Log Normalization, OS Internals, Technical Reporting

Industry

Computer and Network Security

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). 🎓 Education Bachelor’s in Computer Science, Cybersecurity, or related field. 💼 Experience 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. 🚀 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 Riyadh 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.
Responsibilities
Design high-impact detection strategies and build automation to enhance SOC operations and resilience. Collaborate with threat intelligence and incident response teams to translate adversary TTPs into actionable detection logic.
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