Senior Network Engineer - Operations
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 5+ years required
- Where you can live
- US only
- Skills and tools
- python, git, ci/cd
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- 5+ years required
- Employer publication date
- 14 August 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
About the company
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
The company 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
The company provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [link for members]
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 the company 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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