Sr. Threat Researcher (Remote, IND)

About the role

As a Senior Threat Researcher, you will be a technical leader and subject matter expert within the Threat Research team, driving innovation in threat detection and response capabilities. This is an individual contributor position focused on technical excellence and thought leadership, requiring deep expertise in reverse engineering, malware analysis, and automation. You will take ownership of the most complex threats facing CrowdStrike customers, architect scalable automation solutions, and serve as a technical mentor to researchers across all experience levels. Your work will directly influence the direction of threat research methodologies, tooling, and detection strategies that protect millions of endpoints worldwide. The CrowdStrike Malware Research Center is the core of Falcon's malware detection and response capabilities. The team has a focus on understanding the threat landscape and sets the target for what Falcon should be identifying and preventing. Additionally, the MRC is responsible for understanding our capabilities, and mapping how well our machine learning and behavioral protection capabilities are doing against those threats. Where there is a gap, the MRC takes action to improve our detection stance, and improve our overall protection story. MRC also performs pathfinding research to enable technology development using innovation, prototyping and bleeding edge machine learning to support our flagship Falcon product. There are many parts of CrowdStrike working towards protecting customer environments, and the MRC works across all of them to ensure we are on target and providing the best protection for our current Threat landscape. Leading the charge for understanding the activity of malware today is the Threat Research team. With a focus on malware research, the primary role of the team is to understand relevant threats and techniques used in malware that are threatening our customer's business. The challenge is the enormous scale of malware today and sheer number of samples required to be addressed. This takes a more creative approach than traditional Anti-Virus research, focusing on one sample at a time. The modern threat lab requires an economy of scale through automation and machine learning to allow people to focus on new learnings, and let systems continue to identify malware based on what the team has learned.