Network Engineer, GPUaaS
Singtel · Singapore, Singapore
Full-timeonsiteOtherTechnology
รายละเอียดงาน / Description
Based in Singapore, this role involves providing operational and technical support for Singtel's state-of-the-art GPU-as-a-Service (GPUaaS) data center networking infrastructure. You will support customers running AI and high-performance computing workloads on large-scale distributed GPU clusters, focusing on network performance, troubleshooting, and automation. This position offers an opportunity to deepen expertise in AI data center networking and HPC cloud platforms within a collaborative environment.
หน้าที่ความรับผิดชอบ / Responsibilities
- Provide operational support for GPU infrastructure services, meeting customer SLAs
- Offer technical network support and guidance to users of GPU-accelerated systems
- Monitor, troubleshoot, and enhance network performance on GPUaaS platforms, including automation
- Manage relationships and expectations with internal and external stakeholders
- Design, develop, and operate high-performance networking solutions for AI and GPUaaS platforms
- Collaborate on network security initiatives and implement cybersecurity best practices
คุณสมบัติ / Qualifications
- Diploma/Degree in Computer Science, IT, Network Engineering, or related field
- Strong understanding of networking fundamentals (TCP/IP, VLANs, subnetting)
- Experience deploying and troubleshooting advanced routing protocols (VXLAN, EVPN, BGP)
- Experience with network operating systems (Cumulus, Arista, Ubuntu, Proxmox, Red Hat)
- Hands-on experience with network monitoring, automation, and configuration tools
- Customer-focused mindset with strong collaboration and communication skills
ทักษะที่ต้องการ / Required skills
- TCP/IP
- VLANs
- Subnetting
- VXLAN
- EVPN
- BGP
- Cumulus
- Arista
- Ubuntu
- Proxmox
- Red Hat
- Zabbix
ทักษะเพิ่มเติม / Nice to have
- Linux
- Hypervisors
- NFS
- Object Storage
- Infrastructure as Code
- AI Workloads
- HPC Workloads
- GPU Accelerated Networking
- Cloud Architectures
- NVIDIA GPU Platforms