Network Automation Lead

🕒 August 7

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TensorWave

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

TensorWave is a cutting-edge AI compute company offering advanced solutions for enterprises focusing on training, fine-tuning, and inference. Powered by AMD's Instinct MI300X accelerators, TensorWave delivers a cost-effective and high-performance alternative to Nvidia's H100 chip. The company provides options for both bare-metal nodes and fully-managed Kubernetes clusters, ensuring ease of use with native support for PyTorch and TensorFlow. TensorWave is committed to data security with SOC2 Type II and HIPAA compliance, making it a reliable partner for businesses requiring dedicated and secure environments.

📋 Description

• Own the end-to-end zero-touch provisioning pipeline from bare-metal switch boot through production readiness with zero human intervention. • Build intent-based configuration generation using network source-of-truth/IPAM data, GitOps deployment, validation, rollout, and rollback. • Establish network validation and pre-deployment snapshot/digital-twin testing. • Build gNMI/OpenConfig streaming telemetry, metrics, and logging pipelines for fabric health. • Instrument RoCE health, PFC/ECN counters, optics and link errors, BGP/EVPN state, capacity, and utilization. • Deliver dashboards and alerting for the network team. • Gather requirements and build self-service APIs and interfaces. • Partner with Network Engineering so tooling reflects network operations and turn-up processes. • Hire, mentor, and grow a small team of software engineers and SREs; own roadmap, prioritization, and delivery while contributing code. • Set technical direction and standards and integrate with infrastructure provisioning, CI/CD, secrets, identity, and observability tooling. • Apply software engineering rigor through code review, testing, release management, and on-call ownership.

🎯 Requirements

• 8+ years of relevant experience • Proven experience building network automation at scale, ideally at a hyperscaler, large cloud, or large-scale datacenter/AI-infrastructure operator • Built or been a core contributor to an end-to-end ZTP/device-provisioning system • Strong software engineering fundamentals with Python and/or Go, version control, testing, CI/CD, and code review • Hands-on depth with datacenter Clos fabrics and BGP, EVPN/VXLAN, and ideally RoCEv2/RDMA • Fluency with gNMI/gNOI, OpenConfig/YANG, NETCONF, source-of-truth systems such as NetBox/Nautobot, NOS platforms such as SONiC/FRR or equivalents, and Nornir/NAPALM/Ansible • Experience with observability/telemetry pipelines such as Prometheus, Grafana, Kafka, or OpenTelemetry • Comfort running services on Kubernetes/containers • Leadership experience: led a team or served as the clear technical owner of a platform • Preferred: GPU/AI training or inference cluster experience • Preferred: AMD networking ecosystem, Pensando DPUs, Ultra Ethernet, or Ethernet-based RDMA fabrics • Preferred: whitebox/disaggregated networking and SONiC at scale • Preferred: network validation/digital-twin tooling such as Batfish or containerlab • Preferred: multi-site/multi-region datacenter buildouts • Authorization to work in the United States is required

🏖️ 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

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