AI Security Engineer at Prologis focused on securing AI integrations and developing AI security controls. Collaborating with engineering and business teams to promote secure AI practices.
About the role
- Senior Security Researcher focusing on innovative detection and response capabilities in cloud environments. Conducting security research at CrowdStrike to safeguard cloud workloads from evolving threats.
Responsibilities
- Initiate and conduct Cloud Research Initiatives: follow the threat landscape to identify trends in the realm of cloud infrastructure security, threat actors, novel attack approaches, and vulnerabilities in cloud-based and/or cloud-native environments and workloads.
- Conduct cutting edge research in the areas of Linux security (low level and high level operating system research) and become an authoritative source of knowledge in the team.
- Research threats and vulnerabilities in cloud provider infrastructure and containerized applications and workloads.
- Develop advanced cloud security models: Create sophisticated models and frameworks for identifying and mitigating new types of cloud threats.
- Focus on predictive analytics and proactive threat hunting methodologies.
- Collaborate with cross functional teams: Work closely with various teams, including engineering, product management, detection engineering, and threat intelligence to drive cloud detections in the CrowdStrike falcon platform.
- Provide cloud security thought leadership: Share insights and best practices with the broader security community through publications, conference presentations, and technical blogs.
Requirements
- Proven expertise in security research, methodologies, technologies, and tools.
- Minimum of 5 years in security research, preferably Cloud infrastructure and Linux.
- Experience with cloud-native services, infrastructure, and environments.
- Experience with threat research and misconfiguration identification.
- Comprehensive knowledge of cloud platforms (AWS, Azure, GCP) and their security features.
- Python, golang, and shell scripting experience.
- Experience with large scale data analysis.
- Comprehensive knowledge of Kubernetes, docker, podman, and similar containerization and orchestration technologies.
- Familiarity with cloud automation and orchestration tools for optimizing security processes.
- Experience in publishing security research papers and conference talks.
- Experience in malware analysis and reverse engineering - experience with Linux malware and ELF reverse engineering is a plus.
- Excellent conceptual thinking and communication skills, capable of conveying complex ideas effectively.
- Technical knowledge of network, operating systems (mainly Linux), and data platform security.
- Good problem solving, communication, and teamwork skills.
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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