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Senior Network Engineer

Together AI· Engineering
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Hybrid (San Francisco)$190k - $280kfull-timePosted 3mo ago

About the role

Senior Network Engineer to design, deploy, and operate global multi-vendor network infrastructure for production services and high-performance AI compute environments, with hands-on Linux, Kubernetes, automation, and cross-boundary troubleshooting.

Responsibilities

  • Design, deploy, operate, and maintain global, multi-vendor, multi-protocol networks supporting high-performance AI compute infrastructure.
  • Troubleshoot complex network and application-connectivity issues, identify root causes, and drive problems through resolution.
  • Analyze telemetry, packet captures, logs, and performance data to identify network degradation, congestion, packet loss, and capacity constraints.
  • Participate in architecture and design reviews to ensure solutions meet requirements for performance, availability, scalability, security, and operational supportability.
  • Develop and maintain automation, validation, and operational tooling that improves network reliability and reduces manual effort.
  • Evaluate network hardware, software, optics, and emerging technologies for use in production environments.
  • Establish standards and operational best practices for network design, deployment, monitoring, change management, and incident response.
  • Lead projects addressing complex technical challenges and contribute directly to the network engineering roadmap.
  • Partner with infrastructure, systems, security, and application teams to troubleshoot issues that cross traditional ownership boundaries.

Qualifications

  • 8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks).
  • Deep understanding of TCP/IP and experience with BGP, OSPF, VXLAN, EVPN, ECMP, and QoS.
  • Experience designing and supporting multi-tenant network environments using VRFs, VLANs, overlays, and policy-based segmentation.
  • Hands-on experience deploying and troubleshooting network platforms from Arista, Cisco, Juniper, and NVIDIA.
  • Strong troubleshooting skills using Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities.
  • Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers.
  • Experience developing or maintaining network automation using Python, Ansible, or similar tools.
  • Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, deployment, and rollback.
  • Working knowledge of Kubernetes networking, including pods, services, CNIs, and basic connectivity troubleshooting.
  • Foundational knowledge of RDMA networking and technologies such as RoCE or InfiniBand.
  • Experience with cloud networking in AWS, GCP, or Azure.
  • Strong Linux administration and troubleshooting skills.

Skills

Required:TCP/IPBGPOSPFVXLANEVPNECMPQoSVRFs/VLANs/OverlaysNetwork automationPythonAnsibleKubernetes networkingCloud networking (AWS/GCP/Azure)Linux administration
Nice to have:RDMA (RoCE/InfiniBand)

Benefits

  • startup equity
  • health insurance
  • other competitive benefits
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

AI native cloudFine-TuningGPU clustersInferenceTrainingai-infrastructure-and-developmentbrex-fastest-growing-2025liquid-ai-recruiting-target
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