Senior Network Engineer - Operations
RemoteFull-timePosted 2mo ago
About the role
Senior Network Engineer - Operations responsible for day-to-day operation, maintenance, automation, and on-call support of large-scale data center networks supporting AI and GPU workloads. Scripting and tooling skills are a differentiator to reduce toil and speed incident resolution.
Responsibilities
- Operate and maintain large Ethernet fabrics
- Participate in on-call rotation and incident response
- Execute maintenance, upgrades, and hardware replacements
- Troubleshoot latency, packet loss, and connectivity issues
- Support continuous scale-out growth of production networks
- Build or extend automation/tooling to streamline operations (Python/Go, Ansible, Git-backed workflows)
Qualifications
- 5+ years data center network operations experience
- Multi-Vendor & NOS Experience - Vendors: Juniper, Cisco, Arista, Whitebox, NOS: Junos, IOS/IOS-XE, NX-OS, EOS, SONiC
- Hands-on experience with large Ethernet fabrics and edge networks
- Strong understanding of scale-up vs scale-out architectures
- Experience operating production networks at scale
Skills
Required:data center networkingmulti-vendor NOSEthernet fabricsscale-out / scale-up architectures
Nice to have:automation scripting
Benefits
- Stock Options
- 100% paid Medical, Dental, and Vision insurance for Employees
- Company Health Savings Account Contributions
- 100% paid Short Term and Long Term Disability Insurance for Employees
- Life and Voluntary Supplemental Insurance Options
- Other Insurance Options, such as Pet & Legal Insurance
- Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
- Flexible Spending Account
- 401(k)
- Employee Assistance Program
- Flexible PTO
- Paid Holidays
- Parental Leave
- Other In-Office Perks
Last updated Aug 20, 2026. Interested? Apply on the company site.
About TensorWave
Next-Gen AI Infrastructure
TensorWave: AI & HPC Cloud with AMD Instinct™
AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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