AI Infrastructure Engineer (Junior / Associate)

Key Responsibilities

1. Assist in the deployment, maintenance, and optimization of enterprise server infrastructure.
2. Design, document, and maintain network topology diagrams and infrastructure architecture.
3. Support Linux-based environments and virtualization platforms.
4. Configure and troubleshoot networking equipment including switches, routers, firewalls, and related services.
5. Participate in AI infrastructure, GPU server, and data centre-related projects.
6. Monitor infrastructure performance, reliability, and security.
7. Work closely with vendors, technology partners, and internal stakeholders.
8. Assist in automation and process improvement initiatives.
9. Support infrastructure planning, procurement evaluation, and deployment activities.
10. Basic qualities that an engineer should possess.

Requirements

• Diploma or Bachelor’s Degree in Information Technology, Computer Science, Computer Engineering, Network Engineering, or related disciplines.
• Basic understanding of Linux administration and enterprise server environments.
• Knowledge of networking fundamentals, including TCP/IP, VLANs, routing, switching, and firewall concepts.
• Ability to read and create network topology diagrams.
• Strong analytical and problem-solving skills.
• Self-motivated with a willingness to learn new technologies.
• Good communication skills in English and Chinese.

Preferred Skills

• Exposure to VMware, Proxmox, Docker, Kubernetes, or cloud platforms.
• Experience with enterprise servers, storage systems, or data centre environments.
• Basic scripting knowledge (Bash, Python, PowerShell, etc.).
• Interest in AI infrastructure, GPU computing, and high-performance computing environments.

What We Offer

• Exposure to AI infrastructure and next-generation computing technologies.
• Opportunities to work on enterprise, AI, and data centre projects.
• Direct mentorship from industry professionals and technology leaders.
• Professional certification and career development opportunities.
• Flexible and performance-driven working environment.
• Regional and international technology exposure.

Remuneration

Competitive compensation package based on experience, technical capabilities, and overall fit for the role. Final remuneration will be discussed during the interview.