About this role
KEY ACCOUNTABILITIES
• Develop and operationalize AI/ML-based threat detection models across endpoint, identity, network, and cloud environments.
• Operationalise threat intelligence feeds into AI-driven detection pipelines, ensuring alignment with MITRE ATT&CK TTPs.
• Design, develop, and deploy detection use cases across SIEM and XDR platforms.
• Build, maintain, and continuously tune detection rules, KQL queries, and analytics for improved detection fidelity.
• Design and enhance UEBA (User and Entity Behaviour Analytics) models to detect anomalies, insider threats, and advanced persistent threats (APTs).
• Collaborate with red team and adversary simulation functions to validate detection coverage against real-world attack scenarios.
• Drive proactive threat hunting by developing automated workflows leveraging AI-assisted query generation and anomaly detection.
• Continuously evaluate detection effectiveness, reduce false positives, and improve signal-to-noise ratio.
• Integrate multiple threat intelligence sources and contextual data to enrich detections and improve response outcomes.
• Contribute to the development of threat detection standards, frameworks, and best practices.
• Maintain up-to-date knowledge of evolving threats, adversary techniques, and detection technologies to continuously strengthen the organization’s cyber defense capabilities.
• Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviours in harmony with DP World’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies.
• Perform other related duties as assigned.
QUALIFICATIONS, EXPERIENCE AND SKILLS
Knowledge and Experience
• Bachelor’s degree in computer science, Cyber Security, Information Systems, or related field.
• 8+ years of experience in cybersecurity, with a strong focus on threat detection, threat hunting, or detection engineering.
• Hands-on experience with SIEM/XDR platforms, preferably Microsoft Sentinel and Falcon /Cortex/Stellar Cyber/Defender XDR.
• Strong understanding of MITRE ATT&CK framework and adversary tactics, techniques, and procedures (TTPs).
• Experience in developing detection logic, analytics, and threat hunting queries (e.g., KQL).
• Experience in AI/ML applications for cybersecurity, including anomaly detection and behavioural analytics.
• Experience working with threat intelligence platforms and integrating intelligence into detection workflows.
• Familiarity with cloud security (Azure, AWS), endpoint security, and identity-based threat detection.
• Relevant certifications such as GCIA, GCIH, GCED, AZ-500, SC-200, or equivalent are preferred.
• Experience in multinational environments is an advantage.
Soft Skills
• Strong analytical and problem-solving skills. • Excellent verbal and written communication skills. • Ability to work in cross-functional teams (SOC, Red Team, Engineering). • Proactive mindset with strong attention to detail. • Ability to manage multiple priorities in a fast-paced environment. • Continuous learning attitude, especially in AI and emerging cyber threats. Technical Skills
• Proficiency in KQL (Kusto Query Language) and detection rule development. • Strong understanding of SIEM, XDR, EDR technologies. • Experience with UEBA and behavioural analytics platforms. • Hands-on experience of AI/ML concepts applied to cybersecurity (anomaly detection, classification models). • Understanding of log sources and telemetry across endpoint, network, identity, and cloud. • Familiarity with scripting languages (Python, PowerShell) for automation and analysis. • Experience with threat hunting frameworks and automation tools. • Strong knowledge of cyber threats, attack techniques, and detection strategies.
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