Jobs at CrowdStrike

Design, implement, and operate discoverability and search features for the AISOAR marketplace. Lead end-to-end technical implementations, ensure high availability and security, troubleshoot platform issues, collaborate with customers and security partners, use observability tools, drive platform improvements, and participate in monthly on-call rotation.

The role involves developing capabilities for data parsing and enrichment in a cloud environment, leading cross-team initiatives, and ensuring high availability in distributed systems.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

Lead cybersecurity incident response engagements, investigate intrusions through host and network forensics, hunt threats across large datasets, and develop remediation plans. Conduct investigations under outside counsel, analyze Windows, macOS, and Linux environments, and communicate findings to executives, regulators, and legal stakeholders. Contribute industry thought leadership through publications and presentations while completing technical work independently and applying AI to improve workflows and decision-making.

Perform malware and threat research across the attack lifecycle, validate and improve Falcon detections, collaborate with engineering and ML teams, automate analysis, support external security testing, and translate findings into product protections.

Senior security researcher responsible for large-scale data collection and analysis, operating and building honeypots, performing vulnerability research and reverse engineering, developing automated tooling and GenAI/LLM workflows, collaborating with intelligence teams, reproducing vulnerabilities, and publishing technical research.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

The role involves researching cybersecurity threats, vulnerability analysis, developing automated tools, and collaborating with teams to provide technical expertise and publish findings.