What are we looking for?

We are seeking highly motivated individuals to join our Windows Behavioral Rules Team. The ideal candidates will have a strong background in cybersecurity, with a focus on Windows-based rule development for SIEM, EDR, XDR, or similar platforms. We are looking for team players, adept at crafting precise and effective detection rules, and committed to staying at the forefront of cybersecurity advancements. If you are passionate about contributing to innovative cybersecurity solutions, come join us and be part of our dynamic team at SentinelOne.

What will you do?

As a Windows Detection Engineer, you will play a key role in crafting, owning, and packaging default rules for our Windows agent. Your responsibilities will include creating rules that correlate different behavioral events collected from the OS, performing false positive analysis, and actively contributing to the ongoing enhancement of our detection capabilities.

You will be responsible for the following:

• Develop precise and effective detection rules and deliver default rules for the WIN agent.
• Rigorously analyze and assess false positives associated with the rules you create.
• Contribute to the optimization of rules to minimize false positives and enhance detection accuracy.
• Collaborate with the team to optimize existing default rules for superior detection capabilities.
• Stay informed about emerging threats, industry trends, and new technologies to continuously improve rule efficacy.
• Follow good detection engineering practices and the default rules you develop, including logic, descriptions, and other metadata, tests, and more.

What experience or knowledge should you bring?

• 2+ years of experience in Detection Engineering / Red Teaming / Offensive Research
• Experience writing behavioral detection rules for EDR, XDR, SIEM or other similar platforms. Experience writing YARA or other types of static detections is nice to have.
• Deep understanding of modern Windows attack TTPs (how malware operates, evasion, and exploitation techniques).
• Understanding of Windows internals
• Hands-on experience with coding in Python and C/C++.
• Familiarity with Detection Engineering processes including prioritizing a backlog for research and development, writing unit and integration tests, and with CI/CD technologies such as Jenkins. 
• Strong analytical and problem-solving skills, with an understanding of false-positive analysis.
• Excellent communication and collaboration skills within a team-oriented environment.

Advantage

• Experience in malware analysis (statically and dynamically) and reverse engineering (x86/x64).
• Understanding of existing EDR internals.