Network Engineer, GPUaaS

• Design, develop and operate high-performance networking solutions tailored for AI and GPU-as-a-Service (GPUaaS) platforms.
• Provide operational support and expertise for GPU infrastucure services to meet customer expectation with in given SLA and implement/perform preventive messures to reduce downtime and perform customer requests.
• Collaborate on network security initiatives and implement cybersecurity measures and best practices to support and maintain industry secutiry certification and standards.
• Monitor, troubleshoot, and enhance network performance in AI and GPU-as-a-Service (GPUaaS) platforms and introduce automation to monitor, troubleshoot and resolve network abnormalities and issues.
• Manage relationships and expectations with multiple stakeholders both internal and external.
• Coordinate with cross-functional teams to deliver network solutions efficiently and in timely manner.
• Prepare, analyse and present technical reports and network optimization plans, Outage reports, SLA reports and necessary reports to management and customers.
• Help to solve problems faced in high-performance distributed computation for AI and GPU cloud computing and design tailered network solution to GPU-as-a-Service (GPUaaS) Datacenter products.
• Learning to solve problems in high-performance network for AI and HPC GPU cloud computing.
• Conduct high-performance network benchmark and keeping up with the latest advancements in GPU technology.
• Providing technical network support and guidance to users of GPU-accelerated system.
• This role may require availability outside standard work hours, including nights, weekends and public holidays.

• Degree or equilent in Computer Science, Information Technology, Networking Engineering, or a related field. or equivalent networking certifications and certification in Linux systems.
• Experienced in deploying and troubleshooting advanced network routing protocols and dynamic network topologies like VXLAN, EVPN, BGP etc.
• Exceptional understanding of networking concepts such as TCP/IP, VLANs, and subnetting.
• Good knowledged on various network devices, operating systems like Cumulus, Arista, Ubuntu, Proxmox, Redhat.
• Hands on experience with network monitoring tools and platforms like Zabbix, Netbox, Ansible, Python scripts and CI/CD etc.
• Strong customer service oriented and teamplayer with stakeholder management skills.
• Strong Verbal, written, and presentation skills in English.
• Selfmotived independent learner with strong analytical and problem-solving skills with attention.

• Strong hand-on experience in Linux, hypervisor, storage (NFS, Object), and infrastructure as a code.
• Understanding how AI and HPC workloads interact with high-performance network.
• System-level experience specifically GPU-based accelerated network.

• Understanding of cloud architectures (IaaS, PaaS), GPU architecture and NVIDIA GPUs.

• Flexible work arrangements
• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities