Lead a team of engineers building self-service infrastructure-as-code platforms at a high-scale cybersecurity company. Focus on cloud cost optimization, multi-cloud deployment standards, and architecting reliable, large-scale core services. Promote innovation through AI-driven workflows, SRE practices, and cross-team technical leadership in a mission-critical environment.
Conducts advanced vulnerability research and exploit development, focusing on analyzing patches, identifying zero-day vulnerabilities, and building automated tools for large-scale data analysis. Publishes findings internally and externally while supporting other teams with technical expertise. Works remotely within a global cybersecurity intelligence team.
Develop and maintain security automation workflows and SOAR playbooks to enhance detection, triage, and response within a managed detection and response (MDR) environment. Integrate AI-powered solutions and scripting (PowerShell, Python) to streamline SOC operations, working closely with analysts to identify automation opportunities. Use Git for version control and contribute to improving analyst efficiency through scalable, AI-augmented workflows.
This role involves leading a team of engineers to build and maintain the core infrastructure platform that powers CrowdStrike’s AI-native cybersecurity system. The Engineering Manager will drive cloud cost optimization, enforce deployment standards across multi-cloud environments, and champion SRE and GitOps practices. The position emphasizes technical leadership in large-scale distributed systems, infrastructure-as-code, and AI-enhanced operational efficiency.
Lead a team of engineers building foundational infrastructure platforms at a high-scale cybersecurity company. Drive cloud cost optimization, enforce deployment standards across multi-cloud environments, and contribute to an AI-native platform processing trillions of events daily. Focus on self-service infrastructure-as-code, SRE practices, and enabling engineering velocity through reusable modules and internal developer platforms.
Lead a team building core infrastructure platforms that enable engineering teams to deploy and manage services at scale. Focus on self-service infrastructure-as-code, multi-cloud standardization, SRE practices, and cloud cost optimization. Work closely with distributed teams to define deployment standards and drive technical strategy across the organization.
Lead a team building foundational infrastructure-as-code platforms to support CrowdStrike's high-scale cybersecurity systems. Drive cloud cost optimization, enforce deployment standards across multi-cloud environments, and guide architectural decisions for distributed systems processing trillions of daily events. Foster innovation through AI-first practices, SRE principles, and collaborative engineering culture.
Lead a team building self-service infrastructure-as-code platforms for a high-scale cybersecurity AI system. Focus on cloud cost optimization, multi-cloud deployment standards, and enabling engineering velocity through reusable infrastructure and IDPs. Work with large-scale distributed systems processing trillions of events daily.
Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral threat analysis, and AI-driven security automation. Translate business needs into technical research objectives, guide production ML system development, and collaborate with security researchers and engineers. Work at the intersection of reverse engineering, AI, and large-scale data systems processing trillions of events daily.
This role involves researching and analyzing emerging malware and cyber threats to ensure effective detection across the adversary kill chain. The Threat Researcher will investigate threats using reverse engineering, behavior analysis, and data from internal and external sources, then collaborate with engineering and data science teams to improve detection capabilities. Automation, AI, and machine learning are leveraged to enhance threat analysis and product protection, with contributions to security validation programs and real-time response to new threats.
Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral analysis, and AI-driven threat response. Translate business needs into technical research objectives and guide the development of production ML systems at scale. Collaborate with security researchers and engineers to solve complex, real-world problems in a high-impact environment.
This role involves researching and analyzing emerging malware and cyber threats to enhance CrowdStrike's Falcon platform detection capabilities. The Threat Researcher investigates malware across the full attack lifecycle, validates security coverage, and collaborates with engineering and data science teams to translate findings into product improvements. The position leverages automation, AI, and machine learning to proactively strengthen customer protection at scale.
This role involves conducting in-depth vulnerability research and exploit development, analyzing adversary activity, and building automated tools to support threat intelligence operations. The researcher will reverse-engineer malware, analyze patches for zero-day vulnerabilities, and collaborate across teams to reproduce and validate emerging threats. Work is published in reports or presented at conferences, contributing to CrowdStrike’s global security intelligence mission.
Develop automated tools for large-scale data analysis, conduct vulnerability research, and reverse engineer exploits across Windows, Linux, and other platforms. Support threat intelligence efforts by identifying and reproducing 0-day and n-day vulnerabilities, and contribute technical findings to public research publications. Work collaboratively across teams to meet urgent intelligence needs while advancing long-term security research initiatives.
Conducts advanced vulnerability research and exploit development, focusing on analyzing patches, identifying zero-day vulnerabilities, and reverse engineering malware. Develops automated tools for large-scale data analysis and collaborates across teams to publish technical findings. Works on dynamic security challenges requiring rapid, innovative solutions in a remote environment.
