Senior Network Engineer - Operations
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- Work arrangement
- remote
- Employment
- FullTime
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
From employer posting metadata - Minimum experience (years)
- 5
“5+ years data center network operations experience”
See matched passage in original description ↓ - Employment type
- FullTime
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
- Compensation
- Not specified
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Original job description
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About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We’re looking for a Senior Network Engineer - Operations who is responsible for the 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.
What You’ll Do
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)
Who You Are
Required 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
Preferred Qualifications
100G+ environments
Familiarity with optical standards and transceiver types (e.g., 100G/400G/800G, SR/LR/ER, DWDM)
AI, GPU, or HPC exposure
Automation/scripting to reduce operational toil (Python/Go/Ansible), network APIs/SDKs, CI/CD for network changes, telemetry/log parsing for rapid incident triage
What We Offer
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
Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.
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