Senior DFIR Guardian

Job Description

Requirements

• 🎓 Education
• - Bachelor’s in Cybersecurity, International Relations, Computer Science, or related field.
• 💼 Experience
• - 5+ years in digital forensics, incident response, or security investigations, with a track record leading or coordinating DFIR engagements
• - Exceptional written and verbal communication in both English & Arabic.
• - Hands-on proficiency with forensic tooling: FTK, X-Ways, Cellebrite, Axiom, or equivalent platforms
• - Strong command of network protocols (TCP/IP, HTTP/S, DNS) and log analysis across SIEM platforms
• - Scripting ability in Python, PowerShell, or Bash — used to automate evidence processing, not just theoretically
• - Deep working knowledge of Windows, macOS, and Linux/Unix environments at the artifact and system level
• - Proven experience integrating AI tools into investigative workflows to accelerate triage, pattern detection, or reporting
• - Clear, confident communicator — able to brief executives and work alongside legal, HR, and compliance teams without losing technical precision
• - Compliance: Ensuring all operations align with NCA ECC and SAMA CSF regulations.
• - Saudi nationality is required
• 🏅 Certifications (Highly Preferred)
• - SANS / GIAC (GCFA, GCFE, GNFA, GCIA or similar)
• - IACIS CFCE
• - EC-Council CHFI
• - Offsec (OSDA, OSIR)

Responsibilities

• - 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 access
• - Coordinate and lead the DFIR team across active investigations, ensuring consistent methodology, evidence integrity, and investigative velocity
• - Pull and analyze logs from EDR/XDR, SIEM, DLP, IdP, and email gateway platforms to reconstruct precise attack and user activity timelines
• - Acquire forensic images from laptops, mobile devices, servers, and cloud repositories with full chain of custody
• - Go deep on artifacts — file systems, memory, registry, logs, config states — to reconstruct exactly what happened and when
• - Correlate endpoint, network, and identity telemetry into a coherent picture of attacker behavior and system access
• - Build AI-assisted workflows that automate evidence collection, pattern detection, and timeline generation to scale investigative capacity
• - Translate technical findings into clear, chronological narratives for executives and cross-functional stakeholders — no jargon, no ambiguity
• - Close the loop: feed investigation outcomes back into detection rules, access controls, and policy improvements.

Skills Required