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The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. In this role, you will be responsible for designing, building, and analyzing large-scale threat graphs that model adversary behavior, infrastructure, and relationships across the cyber threat landscape. You will collaborate closely with researchers, analysts, and detection engineers at the intersection of graph theory, threat protection, and machine learning, helping to uncover hidden patterns, identify emerging threats, and drive proactive defense strategies to drive research on emerging cloud threats that impact both Microsoft and third-party products. Your research will directly contribute to the development of real-time protections for enterprises worldwide, ensuring comprehensive coverage across cloud platforms and strengthening the security posture of organizations leveraging a heterogeneous mix of technologies. This is a unique opportunity to work at scale, tackle complex cloud security challenges, and shape the evolution of threat research within Microsoft Security.
Job Responsibility:
Design and maintain scalable threat graphs that model entities such as devices, identity, threat actors, TTPs, infrastructure, and campaigns
Lead and execute advanced research to develop algorithms and heuristics to detect malicious patterns and relationships within graph data on emerging cloud-based threats impacting Microsoft and third-party security products across heterogeneous cloud environments
Collaborate with threat protection researchers, data scientists, and detection engineers to enrich graph models with contextual insights and refine detection and response strategies, to provide comprehensive threat coverage and response capabilities
Research and prototype novel graph-based techniques for threat detection, attribution, and prioritization in collaboration with internal and external security teams
Translate complex raw security data into actionable graph intelligence that enhances the effectiveness of security operations for a global customer base
Mentor, guide, and drive best practices among researchers and detection engineers on advanced graph-based threat hunting and incident response across diverse ecosystems
Contribute to industry knowledge and Microsoft’s security posture by publishing research, developing threat graph models, and proactively identifying threats and attack trends in the cloud
Requirements:
4+ years of experience in security research, detection engineering, threat lifecycle, cloud security in large-scale in complex cloud environments
Strong understanding of graph theory, graph databases (e.g., Neo4j, TigerGraph), and graph analytics with proficiency in Python or similar languages for data analysis and prototyping
Experience working with large-scale datasets, distributed systems and graph analytics projects
Ability to translate complex threat data into graphs and actionable insights
Experience with machine learning or statistical modelling applied to graph data
Proven ability to lead and execute advanced research on emerging cloud-based threats affecting both Microsoft and third-party security products across heterogeneous cloud environments
Knowledge of adversary infrastructure tracking, malware analysis, or campaign clustering
Extensive hands-on experience with cloud platforms—including, but not limited to, Azure—as well as a deep understanding of multi-cloud security challenges and solutions