AI Infrastructure Manager

Key Responsibilities: AI Infrastructure Operations & Maintenance: - Manage and maintain AI computing infrastructure, including VMware virtualization, Linux & Windows Server environments, and x86-based systems - Perform system health checks, capacity planning, and performance tuning for AI workloads - Troubleshoot complex issues across virtualization, storage, AD, and security systems - Lead incident response and problem resolution for critical infrastructure failures Security & Access Management: - Implement and maintain security controls including AD authentication, bastion host access, and network security policies - Conduct regular security audits, vulnerability assessments, and patch management - Ensure compliance with IT security standards and regulations Infrastructure Management: - Administer Nvidia AI SU and HPC systems. - Administer VMware vSphere/ESXi environments, Linux & Windows Server systems - Manage enterprise storage solutions (SAN/NAS) for AI data requirements - Oversee x86 server hardware maintenance and lifecycle management - Collaborate with network and cloud teams for integrated infrastructure solutions Team Leadership & Documentation: - Supervise infrastructure operations team and coordinate cross-functional projects - Develop and maintain system documentation, operational procedures, and incident reports - Provide technical guidance and mentorship to junior engineers Qualifications & Experience: Education: - Bachelor's degree or higher in Computer Science, Information Technology, or related field Experience: - 8+ years in IT infrastructure operations, preferably in AI/cloud/data center environments - Strong expertise in Nvidia SU, VMware, Windows Server, x86 systems, storage, AD, and cybersecurity - Experience with AI/ML infrastructure support is highly desirable Certifications (Preferred): - Nvidia, VMware (VCP/VCAP), Microsoft (MCSE), ITIL, CISSP, or other relevant certifications Language Skills: - Fluent in English and Mandarin (both written and spoken) - Cantonese proficiency is a strong plus Preferred Skills: - Knowledge of containerization /cluster technologies (Docker/Kubernetes) - Experience with private network and hybrid cloud environments (AWS/Azure) - Scripting/automation skills (PowerShell/Python)

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