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TensorWave is building a cloud platform for AI compute infrastructure. The mission is to deliver seamless, secure, reliable, and resilient AI compute at scale, eliminating infrastructure barriers so builders can focus on innovation.
As a Senior Network Automation Engineer, you will design and build scalable automation systems for deploying, managing, and operating large-scale AI network fabrics. You'll work closely with cross-functional partners to support business objectives while maintaining high standards for excellence, collaboration, and impact.
Key responsibilities include:
- 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
This is a hands-on engineering role focused on infrastructure automation at scale, particularly in the context of AI/GPU compute environments.
REQUIREMENTS:
Basic Qualifications:
- Bachelor of Science in Computer Science, Computer Engineering, or 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 tooling, specifically Ansible and NetBox
- Experience with CI/CD pipelines and Git-based workflows
- Multi-vendor networking experience: Juniper, Cisco, Arista, Whitebox
- NOS (Network Operating System) experience: Junos, IOS/IOS-XE, NX-OS, EOS, SONiC
Preferred Qualifications:
- Experience with 100G+ environments
- AI, GPU, or HPC exposure
- Automated cabling validations and Zero Touch Provisioning experience
- Scale-up and scale-out architecture experience
- Experience managing very large Ethernet fabrics
- Large edge and ingress network experience