Senior Network Automation Engineer
TensorWave Las Vegas, Nevada, United States
Technology, Information and Internet · 201-500 employees
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
You will design and build scalable automation systems for the deployment and lifecycle management of large-scale AI network fabrics. Additionally, you will develop CI/CD pipelines and validation workflows to support network growth and configuration management.
What they look for
Requirements
Candidates must have at least 5 years of experience in network automation and proficiency in Python, Java, Go, or Rust. A Bachelor of Science in Computer Science or a related technical field is required.
Benefits
Full description
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 Network Automation Engineers to join our team during an exciting phase of growth. In this role, you’ll be responsible for designing and building scalable automation systems for deploying, managing, and operating large-scale AI network fabrics, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
What You’ll Do
- Design automation for network deployment and lifecycle management
- Build validation, testing, and reconciliation workflows
- Develop CI/CD pipelines for network changes
- Support large-scale Ethernet fabric growth
- Provide automated configuration and firmware management support for networking gear
- Integrate NetBox as a source of truth
Who You Are
Basic Qualifications
- Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
- 5+ years of networking automation, or similar engineering experience
- Demonstrated expertise in Python, Java, Go, or Rust
- Expertise in Automation and related tooling - Ansible, NetBox
- Experience with CI/CD pipelines and Git-based workflows
- Multi-Vendor Experience - Juniper, Cisco, Arista, Whitebox
- NOS Experience - Junos, IOS/IOS-XE, NX-OS, EOS, SONiC
Preferred Qualifications
- 100G+ environments
- AI, GPU, or HPC exposure
- Experience with automated Cabling validations and Zero Touch Provisioning
- Experience with scale-up and scale-out architectures
- Experience managing very large Ethernet fabrics
- Experience with large edge and ingress networks
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 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.
