RunPod · 1 day ago
Security Engineer
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Artificial Intelligence (AI)Cloud Infrastructure
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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)
Qualification
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Required
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 (ideally, 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
Excellent problem-solving skills and ability to think creatively about security challenges in cloud computing
Successful completion of a background check
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
Benefits
Stock options
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.
Company
RunPod
RunPod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.
Funding
Current Stage
Early StageTotal Funding
$22M2024-05-08Seed· $20M
2023-03-30Pre Seed· $2M
Recent News
EIN Presswire
2024-10-31
Company data provided by crunchbase