Network Engineer (AI DC)

Vouch Recruitment Pte Ltd; Singapore; Presencial; SGD 90 000 - 130 000; Tempo integral

Resumo da oferta

Vouch Recruitment Pte Ltd is seeking an experienced Senior Network Engineer to design, deploy and support high-performance data center network infrastructure for AI and GPU compute environments in Singapore. You will build Spine-Leaf architectures, manage 25G+ Ethernet fabrics, and implement L2/L3 technologies with BGP, OSPF, VXLAN EVPN, ECMP and MLAG/VPC.

The ideal candidate has 5+ years of enterprise or data center networking experience, hands-on Cisco Nexus/Arista/Juniper, NVIDIA Spectrum or

Qualificações

• Bachelor's degree in a related field.
• 5+ years designing or supporting enterprise or data center networks.
• Hands-on with routing and switching: BGP, OSPF, VXLAN EVPN, ECMP, MLAG/VPC.
• Experience with high-speed Ethernet networks (25G/40G/100G+).
• Familiarity with AI, HPC, GPU clusters is a plus.

Responsabilidades

• Design, deploy and support high-performance data center network infrastructure.
• Build and optimize Spine-Leaf architectures for large GPU clusters.
• Deploy and manage 25G/40G/100G+ Ethernet fabrics for AI workloads.
• Configure Layer 2/3 networks with BGP, OSPF, VXLAN EVPN, ECMP, MLAG/VPC.
• Monitor, troubleshoot and resolve complex network issues across compute and AI infra.
• Collaborate with Platform, Infra, Linux, DevOps and AI Eng teams.
• Develop network documentation, procedures and runbooks.
• Implement monitoring and automation to improve ops efficiency.
• Participate in on-call support for production environments.

Conhecimentos

Data center networking

Network design

BGP

OSPF

VXLAN EVPN

ECMP

MLAG/VPC

Linux networking

Network automation

Troubleshooting

Formação académica

Bachelor's Degree in Computer Science/Engineering/IT

Ferramentas

Cisco Nexus

Arista

Juniper

NVIDIA Spectrum

Mellanox

Descrição da oferta de emprego

Our client is a fast-growing AI infrastructure company building next-generation GPU-powered AI platforms. They operate high-performance AI data centers that support large-scale machine learning, AI model training and inference workloads. The environment is highly technical, focusing on low-latency networking, scalability, automation and operational excellence.

Primary Responsibilities

• Design, deploy and support high-performance data center network infrastructure for AI and GPU compute environments.
• Build, configure, and optimize Spine-Leaf network architectures for large-scale GPU clusters.
• Deploy and manage high-speed Ethernet and/or InfiniBand fabrics supporting AI/HPC workloads.
• Configure and maintain Layer 2 and Layer 3 networking technologies, including BGP, OSPF, VXLAN EVPN, ECMP, and MLAG/VPC.
• Monitor, troubleshoot, and resolve complex network issues across compute, storage, and AI infrastructure.
• Optimize network performance, latency, and throughput to support distributed AI training and inference.
• Perform firmware upgrades, network maintenance, capacity planning, and lifecycle management.
• Collaborate closely with Platform, Infrastructure, Linux, DevOps, and AI Engineering teams to deliver scalable AI infrastructure.
• Develop and maintain network documentation, operational procedures, and technical runbooks.
• Implement network monitoring, alerting, and automation to improve operational efficiency.
• Participate in incident response and on-call support for production environments.
• Evaluate and recommend new networking technologies to improve scalability, reliability, and performance.

What We're Looking For

• Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related discipline.
• 5+ years of experience designing or supporting enterprise or data center network infrastructure.
• Strong understanding of modern data center networking principles
• Hands-on experience with routing and switching protocols such as BGP, OSPF, VXLAN EVPN, ECMP, and MLAG/VPC.
• Experience managing high-speed Ethernet networks (25G/40G/100G/200G/400G).
• Exposure to AI, HPC, GPU clusters, or large-scale compute environments would be highly advantageous.
• Experience working with networking platforms such as Cisco Nexus, Arista, Juniper, NVIDIA Spectrum, or Mellanox.
• Good understanding of network security concepts including segmentation, ACLs, and firewall policies.
• Familiarity with Linux networking fundamentals and troubleshooting.
• Experience with network automation using Python, Ansible, REST APIs, or similar tools is an advantage.
• Knowledge of technologies such as InfiniBand, RoCEv2, RDMA, GPUDirect, SONiC, or Cumulus Linux is a plus.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication skills with the ability to collaborate effectively across cross-functional engineering teams.
• Comfortable working in a fast-paced, high-availability production environment supporting mission-critical AI infrastructure.