Requirements
🎓 EducationBachelor’s in Cybersecurity, International Relations, Computer Science, or related field.💼 Experience3+ years in digital forensics, incident response, or security investigations, with a track record leading or coordinating DFIR engagementsExceptional written and verbal communication in both English & Arabic.Hands-on proficiency with forensic tooling: FTK, X-Ways, Cellebrite, Axiom, or equivalent platformsStrong command of network protocols (TCP/IP, HTTP/S, DNS) and log analysis across SIEM platformsScripting ability in Python, PowerShell, or Bash — used to automate evidence processing, not just theoreticallyDeep working knowledge of Windows, macOS, and Linux/Unix environments at the artifact and system levelProven experience integrating AI tools into investigative workflows to accelerate triage, pattern detection, or reportingClear, confident communicator — able to brief executives and work alongside legal, HR, and compliance teams without losing technical precisionCompliance: Ensuring all operations align with NCA ECC and SAMA CSF regulations.🏅 Certifications (Highly Preferred)SANS / GIAC (GCFA, GCFE, GNFA, GCIA or similar)IACIS CFCEEC-Council CHFIOffsec (OSDA, OSIR)
Description
Own end-to-end forensic investigations across endpoints, cloud platforms, and network infrastructure — from initial triage to root cause, including IoC identification, data exfiltration, and unauthorized accessCoordinate and lead the DFIR team across active investigations, ensuring consistent methodology, evidence integrity, and investigative velocityPull and analyze logs from EDR/XDR, SIEM, DLP, IdP, and email gateway platforms to reconstruct precise attack and user activity timelinesAcquire forensic images from laptops, mobile devices, servers, and cloud repositories with full chain of custodyGo deep on artifacts — file systems, memory, registry, logs, config states — to reconstruct exactly what happened and whenCorrelate endpoint, network, and identity telemetry into a coherent picture of attacker behavior and system accessBuild AI-assisted workflows that automate evidence collection, pattern detection, and timeline generation to scale investigative capacityTranslate technical findings into clear, chronological narratives for executives and cross-functional stakeholders — no jargon, no ambiguityClose the loop: feed investigation outcomes back into detection rules, access controls, and policy improvements.