Senior Threat Intelligence Engineer

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About the role

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations • Austin, US About the Role 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. Responsibilities • 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

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