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AI Infrastructure Manager

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
  • 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

  • Bachelor's degree or higher in Computer Science, Information Technology, or related field
  • 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
  • Fluent in English and Mandarin (both written and spoken); Cantonese proficiency is a strong plus
  • Knowledge of containerization /cluster technologies (Docker/Kubernetes)
  • Experience with private network and hybrid cloud environments (AWS/Azure)

See also

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