CrowdStrike-posted 4 months ago
$135,000 - $215,000/Yr
Full-time • Senior
5,001-10,000 employees

At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. We’ve earned numerous honors and top rankings for our technology, organization and people – clearly confirming our industry leadership and our special culture driving it. The opportunity: Our CrowdStrike Data Science Machine Learning Operations and Response Team is looking for a Sr Threat Analyst who is both customer- and team-focused. This role will include both response and pro-active aspects. This role will be perfect for anyone who has experience involving detections and/or reverse engineering. The primary responsibility of this role will be to analyze breaches and killchains involving malware and detections. This team is focused on improving detection capability and efficiency through analysis of malware or other threat detections impacting our customer base. Experience with security detections by machine learning models is a plus. Bring your passion for helping internal partners resolve questions about detections of potentially malicious activity by machine learning and our detection platform. Our goal for the team is to both help internal teams respond to customer-inquiries about threat detection and to provide information about the effects of our detections into the Data Science organization - including detection efficacy and managing false positive detections. This role will work most closely with internal teams such as Falcon Complete, Falcon Overwatch, Data Scientists and the Malware Research Center in Data Science.

  • Lead efforts to review and refine product detections to ensure they meet and exceed company standards.
  • Identify and drive improvements in false positive detection management through deep technical analysis and process enhancements.
  • Analyze files and killchains across different platforms (Linux, public Clouds, Mac, and Windows) to assess legitimacy and identify malicious behaviors.
  • Act as a senior escalation point for internal teams regarding complex customer threat detections.
  • Collaborate cross-functionally with threat research, engineering, and incident response teams to drive detection efficacy.
  • Deep technical expertise in Linux or Mac operating systems, including internals and threat behaviors.
  • Demonstrated subject matter expertise in public Cloud environments, preferably AWS or Azure.
  • Strong background in reverse engineering malware and malware operations.
  • Solid proficiency in Python, with additional experience in other scripting/programming languages a plus.
  • In-depth understanding of binary analysis, including file attributes, imports/exports, and common packing techniques.
  • Advanced analytical skills, including practical experience with threat research, intelligence collection, and structured analysis methodologies.
  • Strong grasp of threat/risk assessment and threat management frameworks.
  • Proven ability to break down complex security problems into actionable solutions.
  • Experience in a Security Operations Center (SOC), threat hunting, or a high-tempo incident response environment.
  • Expert-level knowledge of MacOS and/or Linux, with experience in threat detection, analysis, or EDR tooling on those platforms.
  • Advanced knowledge of the control plane and data plane of public cloud providers.
  • Advanced knowledge of Windows OS internals and API behavior.
  • Familiarity with tools and techniques used in targeted and criminal cyber-intrusions.
  • Background in exploit development or vulnerability research.
  • Knowledge of programming languages such as C, C++, Java, and Assembly.
  • Experience leveraging machine learning for threat detection use cases.
  • Remote-friendly and flexible work culture
  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays for recharge
  • Paid parental and adoption leaves
  • Professional development opportunities for all employees regardless of level or role
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
  • Vibrant office culture with world class amenities
  • Great Place to Work Certified™ across the globe
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service