Assistant Manager (IT Infrastructure)

Responsibilities

IT operation and Governance

• Report to Manager, IT Infrastructure; oversee daily infrastructure operations across on-premises, hybrid and cloud environments;

• Set priorities for the maintenance, design and development of LAN/WAN, Internet, wireless, firewall/VPN, compute, storage and virtualization platforms;

• Review and control changes to network, server and platform operations in line with IT standards best practice;

• Develop and update IT Policies, Standards and Procedures, including container, cloud and AI workloads;

• Define and track key operational metrics (SLA, availability, capacity, patching, backup, MTTR, and cost); and

• Maintain logs, runbooks, architecture diagrams and operational documentation.

Infrastructure Platform and Automation

• Lead the container platform design, establishment and operation of enterprise container platforms: Kubernetes, Docker and private registries. K8S/RKE2 and rancher management skills preferred;

• Lead cloud governance and platform integration with Azure landing zone to cybersecurity or ISO compliance standards;

• Define platform standards for cluster architecture, ingress, networking, storage, certificates, secrets, RBAC and multi-tenancy;

• Establish CI/CD, GitOps and Infrastructure-as-Code pipelines for reliable deployment;

• Build observability and lifecycle processes: upgrades, patching, vulnerability scanning and capacity planning; and

• Lead IT automation initiatives to streamline service and platform operations.

AI Architecture and Infrastructure

• Define and establish architecture and infrastructure for enterprise AI workloads: GPU compute, high-performance networking and storage, and data pipelines;

• Support deployment of LLM/RAG solutions, vector databases, MLOps tooling and cloud AI services;

• Access AI use cases, sizing, cost, security and compliance with business and data teams; implement robust AI governance and access controls; and

• Evaluate on-premises versus cloud options for AI; plan capacity, power/cooling requirements, and cost optimization.

Resilience and Security

• Manage infrastructure design, upgrades, patch delivery and service recovery processes;

• Establish contingency, backup and DR plans (including immutable backups and DR testing) to meet RTO/RPO objectives;

• Embed security-by-design approach in partnership with the security team: zero trust, identity management, network segmentation, hardening and vulnerability remediation; and

• Administer server rooms, network devices, cabling, storage, server platforms and end-user devices.

Vendor Management and Procurement

• Laison with procurement to address technical requirements, tender preparation and evaluation, negotiation and award;

• Negotiate pricing, licensing, SLAs, support contracts, and renewals; assess TCO, lifecycle and vendor lock-in risks;

• Manage vendor performance through services reviews, KPIs and escalation processes; and

• Plan budget and resources; collaborate with users on project proposals and lead end-to-end implementation.

 
Requirements

Qualifications and Experience

• University Degree in Computer Science, Information Technology, Engineering or equivalent;

• Minimum 10 years of relevant IT infrastructure experience, with at least 3 years in a leadership role in overseeing network, server and platform operations;

• Proven production-level experience with Kubernetes and Docker;

• Exposure to AI infrastructure (GPU, LLM/RAG, cloud AI platforms) is a strong advantage;

• Demonstrated outstanding project management skills; and

• Demonstrated vendor management and procurement experience: RFQ, tender evaluation, contract negotiation, and cost justification.

Technical Knowledge

• Network and Security: FortiGate firewall, WAF, H3C switching, routing, SD-WAN, VPN, wireless infrastructure, DNS/DHCP, and TCP/IP;

• Servers and Storage: Windows Server, Linux (RHEL/Ubuntu), Active Directory/Entra ID, Microsoft 365/Exchange, and Huawei or Lenovo SAN/NAS solutions;

• Virtualization and HCI: Nutanix, VMware, Sangfor HCI and VDI;

• Resilience: Backup and DR (Commvault, Veeam), immutable backups, RTO/RPO planning and DR testing;

• Container and Cloud: Kubernetes ingress, CNI, CSI storage, RBAC, certificates and secrets; Helm, Argo CD, Terraform, Ansible; Azure/AWS/GCP; PowerShell, Python, and Bash;

• Observability: Prometheus, Grafana, and ELK; and

• AI Infrastructure: GPU compute, LLM/RAG deployment, vector databases, MLOps, Azure Copilot, Azure AI Foundry, and AI security and governance.

Management and Soft Skills

• Strong verbal and written communication skills to different stakeholders;

• Excellent stakeholder management skills to explain complex technical concepts and translate them into business value;

• Strong service and project management, vendor negotiation and change management skills;

• Critical thinking and problem-solving skills and making effective decisions;

• Self-motivated, show adaptability and resiliency, able to work under pressure; and

• Excellent English and Cantonese; Putonghua is a definite asset.

  
Closing Date : 17 November 2026