Sr. Sensor Engineer - Data Protection (Hybrid)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed — we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. The future of cybersecurity starts with you. You'll be joining the Data Protection Team in our Data Security Product Group, whose mission is to build a unified data security system which enables customers to identify and investigate insider threats, identify access to and movement of sensitive data, and ensure regulatory compliance by mitigating data loss risk. One component is a "sensor": a driver installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon cloud. The sensor processes thousands of events per second to provide deep visibility into operations on the endpoint, and performs rich correlation and computation to identify malicious events and block malicious activity. The cloud component aggregates sensor telemetry for each customer's network, correlates malicious behavior across multiple machines, and presents our customers' operations teams with a prioritized summary of the threats detected in their environments. This is a Senior Windows Kernel Developer role in the engineering team that delivers data protection-focused functionality in the sensor (lightweight agent) on Windows. Engineers on the team own the design and development of core features on the platform, operating across both kernel and user mode. The team operates under Agile development principles and ships frequently. As AI-driven tools and agents become increasingly prevalent on the endpoint, our data protection capabilities must evolve to understand and account for that activity. Engineers on this team are expected to develop solutions that are AI-aware, including reasoning about how AI agent behavior intersects with data access and movement patterns we monitor and protect against. Design and develop data protection-focused functionality spanning kernel-mode components, including Windows filesystem minifilter drivers, and user-mode components on Windows systems Implement new data protection capabilities across a growing set of data access and transfer scenarios on the endpoint Build and maintain AI-aware detection and protection logic, accounting for the ways AI agents and tools interact with sensitive data on the endpoint Own features from design to delivery, including post-ship support and customer issue resolution Leverage AI-assisted development tools to improve engineering productivity and solution quality Other projects as assigned Degree in Computer Science (or professional experience in kernel mode/user mode development on Windows in C/C++) Ability to develop high-quality code in C++ Windows filesystem minifilter driver development experience Experience developing across both kernel mode and user mode on Windows, with a strong understanding of kernel-to-user space IPC best practices Understanding of the Windows filesystem filter model, the basics of local and remote filesystem implementations, and the corresponding interfaces at the filesystem minifilter level Ability to demonstrate C/C++ and Windows kernel/user mode development capabilities, be it through job experience, schoolwork, or contributions to community projects Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Familiarity with AI agent ecosystems and how AI-driven tools interact with the filesystem and operating system at a behavioral level Experience with or interest in AI-assisted development workflows, including agentic coding tools such as Claude Code Experience in the security industry, particularly in endpoint or data security

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CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.