We are currently hiring for multiple Security Research positions across our Microsoft Defender Research teams in Israel. By applying to this unified pipeline, you will be considered for a high-impact role (at either the Security Researcher II or Senior Security Researcher role) within one of our specialized groups, including Autonomous Attack Disruption, Cloud Workload Protection, Identity Research, Posture Research, or Security for AI.
We are looking for passionate, highly skilled security researchers who thrive on the challenge of breaking complex attacker kill-chains. Leveraging Microsofts dominant market position and the worlds most massive telemetry set, you will have a direct, tangible impact on the security of the global economy. We are looking for researchers who want to see their findings transformed into production-ready protection, where the ultimate goal is not just to detect threats, but to prevent and stop them in near real-time.
Responsibilities
Investigate real world advanced attacker TTPs to develop high-fidelity protection signals, and robust logic across complex kill-chains.
Design and implement innovative capabilities that autonomously prevent, detect and disrupt sophisticated threats in near real-time.
Infuse deep security expertise into the analysis of massive telemetry sets using big-data query languages, reasoning over data to identify novel malicious patterns, and drive evidence-based research decisions.
Partner with engineering and product teams to share research insights, validate protection concepts, and push ideas forward into production-ready protection at a global scale.
Contribute expert insights to a strategic feedback loop by analyzing real-world attack data and telemetry to refine protection coverage and accuracy.
Requirements: Qualifications
4+ years of hands-on experience in security research or threat hunting, with a specialized focus on identity, cloud, or AI-based threat scenarios.
Deep understanding of the threat landscape, including modern attacker techniques and complex kill-chains, with a focus on platform internals across OS, Cloud Workloads and Identity platforms.
Experience hunting across diverse signal sources, effectively uncovering threats within on-premises, hybrid, and cloud environments.
Programming proficiency (e.g., Python, C#, or similar), with a proven ability to develop and ship production-ready protection logic. Demonstrated ability to work effectively in cross-functional teams, bridging the gap between deep research and scalable engineering.
Preferred Qualifications
B.Sc. or M.Sc. in Computer Science or Software Engineering OR/AND related field
Public track record of security research, such as technical blog posts, whitepapers, or presentations at major industry conferences.
Experience in offensive security or adversary simulation.
Deep understanding of AI-driven threats.
Proven ability to reason over large-scale datasets using big-data query languages, applying security expertise to identify novel patterns and make evidence-based decisions.
Familiarity with cloud environments (e.g., Azure, AWS) and the specific security challenges inherent to hybrid and multi-cloud infrastructures in large enterprise customers.
This position is open to all candidates.