Security Engineer

Responsibilities

• Design and implement secure architectures for Runpod's multitenant GPU cloud platform, ensuring strong isolation between customer workloads
• Conduct thorough security assessments, including threat modeling, code reviews, and penetration testing of our cloud infrastructure and services
• Develop and implement security fixes and improvements in collaboration with software engineering teams
• Implement and manage security tools and systems (e.g., SIEM, WAF, EDR)
• Create and maintain security documentation, including policies, procedures, and technical guidelines specific to GPU cloud security
• Provide security guidance and training to development teams to foster a security-first culture in cloud development
• Participate in incident response activities and contribute to post-incident analysis and improvements
• Collaborate with operations team to ensure adherence to relevant standards (e.g., SOC 2, ISO 27001, GDPR)

Requirements

• Bachelor's degree in Computer Science, Cybersecurity, or a related field
• 5+ years of experience in information security roles, with a focus on cloud security
• Strong programming skills in at least one language (Python, Go, or C)
• Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization
• Deep understanding of workload/network isolation techniques in multitenant cloud environments
• Experience securing and hardening cloud infrastructure, particularly in environments with untrusted workloads
• Familiarity with GPU architecture and security considerations in GPU cloud computing
• Strong background in network security, application security, and cloud-native security practices
• Experience with security testing tools and methodologies (e.g., OWASP, Burp Suite, static/dynamic analysis tools)
• Familiarity with common cybersecurity frameworks (e.g., NIST, CIS Controls) and their application to cloud environments

Preferred

• Relevant security certifications (e.g., CISSP, CCSP, OSCP)
• Experience with DevSecOps practices and tools in cloud environments
• Deep knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) and their security implications
• Familiarity with regulatory compliance requirements for operating cloud services
• Contributions to open-source security projects or security research publications related to cloud or GPU computing
• Experience with GPU programming and understanding of GPU-specific security concerns

Compensation

• Competitive base pay: $152,000 - $175,000
• Meaningful equity (stock options)
• Generous medical, dental & vision plans (100% coverage for employees)
• Flexible PTO
• $1,200 Home Office & Equipment Stipend