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)