AI Infrastructure Manager

China Mobile International Limited; Hong Kong; On-site; HKD 800,000 - 1,200,000; Full time

Job summary

China Mobile International Limited in Hong Kong seeks a seasoned IT Infrastructure Operations lead to manage AI computing platforms, VMware virtualization, Linux/Windows Server environments, and x86 hardware to ensure high availability.

You will drive incident response, capacity planning, security controls, and collaborate with cross-functional teams to deliver integrated infrastructure solutions while mentoring junior engineers.

Qualifications

• 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

Responsibilities

• 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.
• 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

Skills

NVIDIA SU

VMware

Linux

Windows Server

x86 hardware

Storage SAN/NAS

Active Directory

Cybersecurity

AI/ML infra support

Docker/Kubernetes

Education

Bachelor's degree in Computer Science/IT

Tools

VMware vSphere/ESXi

Job description

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:

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)