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)