Network Engineer (GPU)

• Competitive package within a fast-growing AI infrastructure space
• Build and support large-scale GPU and AI networking platforms
  
  

About Our Client

Our client is a leading technology and digital infrastructure organization investing heavily in next-generation AI, cloud, and high-performance computing capabilities across the region.

Job Description

• Design, deploy, and maintain high-performance network infrastructure supporting AI and GPU computing environments.
• Monitor network performance, troubleshoot complex incidents, and improve operational resilience through automation.
• Work closely with internal teams, customers, and technology partners to deliver reliable infrastructure solutions.
• Implement network security controls, best practices, and compliance standards across production environments.
• Prepare technical reports, service performance updates, and optimization recommendations for key stakeholders.
  
  

The Successful Applicant

• Degree in Computer Science, Information Technology, Network Engineering, or a related discipline.
• Strong understanding of enterprise networking fundamentals including routing, switching, TCP/IP, VLANs, and subnetting.
• Experience supporting modern data center networking technologies such as BGP, EVPN, VXLAN, or comparable architectures.
• Hands-on experience with Linux environments, network monitoring tools, automation platforms, or scripting languages.
• Strong analytical, stakeholder management, troubleshooting, and problem-solving capabilities.
• Fresh graduates are welcome to apply
  
  

What's on Offer

• Opportunity to work on next-generation AI and GPU infrastructure projects.
• Exposure to high-performance computing, cloud platforms, and automation technologies.
• Collaborative environment with strong technical learning and development opportunities.
• Clear pathway to deepen expertise in AI networking, data center infrastructure, and emerging technologies.
  
  

Quote job ref: JN-102026-7118316