Staff Network Engineer - Remote

Overview

We are hiring a Staff Network Engineer to help build and operate the backbone of a carrier-grade, high-performance AI infrastructure. As a key technical contributor, you will design, deploy, and support large-scale network systems that connect our GPU clusters, high-throughput storage, and compute environments across geographically distributed data centers.

In Short

• Implement and maintain high-throughput, low-latency networks supporting AI Factory workloads and distributed training infrastructure.
• Work hands-on to deploy, configure, and troubleshoot routing, switching, optics, and interconnect systems across data centers.
• Operate and optimize layer 2/3 network services: BGP, EVPN/VXLAN, OSPF, MPLS, QoS, and ACLs.
• Work with Infiniband Networking Systems and Nvidia Fabric Manager (UFM).
• Develop and maintain network automation (e.g., Ansible, Python, Terraform) for provisioning, compliance, and operational workflows.
• Monitor network health and performance using telemetry tools and help scale observability platforms.
• Participate in the incident response rotation and perform root cause analysis on service-impacting events.
• Maintain configuration standards, documentation, and change management in line with infrastructure governance processes.
• Collaborate with the Principal Network Engineer on architectural decisions and vendor evaluations.

Requirements

• 5–8+ years of hands-on experience in large-scale network engineering, data center networks, or service provider infrastructure.
• Strong knowledge of IP networking, BGP, OSPF, EVPN/VXLAN, and L2/L3 design principles.
• Experience configuring and operating Arista, Juniper, or Cisco platforms in production environments.
• Proficiency in scripting or automation (e.g., Python, Bash, Ansible).
• Solid troubleshooting skills and experience with real-time diagnostics and packet analysis.
• Familiarity with monitoring and telemetry tools (e.g., Prometheus, Grafana, sFlow, InfluxDB).

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI infrastructure.
• Collaborative and inclusive work environment.
• Professional development opportunities.
• Flexible working hours and remote work options.