Senior Threat Intelligence Engineer

Security at Cloudflare is a focused team committed to helping secure both Cloudflare and our customers. The Threat Detection Automation and Intelligence Team is responsible for identifying, understanding and detecting threats to Cloudflare.

We are seeking an experienced Threat Intelligence Engineer with experience with machine learning data science to join our proactive security team. This role is a critical blend of two disciplines: leveraging Threat Intelligence (TI) to understand the adversary, and then applying advanced Machine Learning and engineering principles to rapidly and effectively defend our organization. The ideal candidate will transform raw threat data into actionable security measures and automated defenses, significantly reducing our mean time to detect (MTTD) and mean time to respond (MTTR) to sophisticated cyber threats.

• Intelligence Collection & Analysis: Proactively research, collect, and analyze threat intelligence from various sources (OSINT, commercial feeds, dark web, and internal security events) to understand the current and emerging threat landscape.
• Machine Learning and Data Science: Design, implement, and maintain detection use cases for the entire machine learning lifecycle (data ingestion, training, deployment, and inference).
• Threat Actor Profiling: Develop detailed profiles of relevant threat actors, their Tactics, Techniques, and Procedures (TTPs) using frameworks like MITRE ATT&CK , and identify potential impacts to the organization.
• Actionable Intelligence Dissemination: Produce and disseminate timely, relevant, and actionable intelligence reports and briefings for both technical security teams and executive leadership.
• IOC/IOA Management: Engineer the ingestion, enrichment, correlation, and contextualization of Indicators of Compromise (IOCs) and Indicators of Attack (IOAs) into security platforms.
• Automated Defense Development: Design, develop, and implement robust automation workflows and playbooks (SOAR) to streamline security operations tasks, including incident triage, alert enrichment, vulnerability management, and threat response actions.
• Tool Integration & Optimization: Integrate diverse security tools (e.g., SIEM, EDR, Cloud Security Posture Management, vulnerability scanners, Threat Intelligence Platforms) through APIs and scripting (primarily Python) to create seamless, automated feedback loops.
• Process Improvement: Identify manual, repetitive, and time-consuming security processes and engineer scalable automation solutions to increase team efficiency and operational maturity.
• Incident Response Support: Provide threat context to support the Incident Response team during active security incidents.
• Cross-Functional Partnership: Collaborate with Detection Engineers, Security Engineers, and Software Developers to embed security and intelligence-driven practices into the CI/CD pipeline and corporate infrastructure.