Senior Network Engineer

Requirements

• 8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks (excluding enterprise networks)
• High level of proficiency with TCP/IP networking architecture and technologies such as BGP, OSPF, VXLAN, EVPN, and QoS
• Experience developing network automation pipelines using Python, Ansible, or other languages/tools utilized in infrastructure automation
• Proficient in using tools such as Wireshark, tcpdump, nmap, MTR, and curl to identify connectivity issues, latency problems, and network bottlenecks
• Experience designing and supporting multi-tenant networks
• Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox
• Experience working with cloud networks such as AWS, GCP, and Azure
• Solid experience working in and troubleshooting within a Linux environment

Responsibilities

• Design, deploy, manage and maintain global multi-vendor, multi-protocol high performance compute networks
• Analyze data to diagnose and identify root causes to network issues to minimize downtime
• Evaluate and recommend network technologies, hardware, and software solutions
• Participate in design reviews to ensure the proposed network architecture aligns with business needs and is optimized for performance, scalability, and reliability
• Manage relationships with external vendors and partners to test and verify hardware and software selections
• Develop, and deploy systems and tools to keep all networks running reliably and efficiently
• Establish and implement industry best practices and contribute to the design of new scalable network solutions
• Ensure compliance with IT governance standards and best practices
• Lead projects to address complex technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop world-class solutions

Preferred

• Knowledge of RoCE and Infiniband protocols a plus
• Experience with Docker, Kubernetes, or Slurm a plus
• Understanding of AI training workloads and the demands they exert on networks a plus

Compensation

US base salary range: $190,000 - $250,000 + equity + benefits. Individual compensation determined by experience, skills, and job-related knowledge.