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Описание вакансии
Текст:
TL;DR
Network Automation Software Lead (Python/Go): Building and owning an end-to-end zero-touch provisioning (ZTP) and automation platform for GPU network fabrics with an accent on zero human intervention and full fabric validation. Focus on designing intent-based configuration generation, streaming telemetry pipelines, and leading a team of engineers to ensure high-performance AI compute infrastructure.
Location: Remote (US); Must be authorized to work in the United States
Company
TensorWave delivers seamless, secure, and resilient AI compute at scale via a versatile cloud platform that eliminates infrastructure barriers for AI builders.
What you will do
- Own the end-to-end ZTP pipeline from bare-metal switch boot to production readiness with zero human intervention.
- Develop intent-based config generation using GitOps-style deployment, pre/post-change validation, and safe rollouts.
- Establish network validation and pre-deployment testing using digital-twin tooling to catch errors before production.
- Build streaming telemetry and metrics pipelines using gNMI and OpenConfig to monitor GPU network health (RoCE, BGP/EVPN).
- Lead, mentor, and grow a small team of software engineers and SREs, managing the roadmap and delivery.
- Ensure clean integration of the automation platform with the broader infrastructure stack, including CI/CD, secrets, and identity.
Requirements
- 8+ years of relevant experience in network automation at scale (hyperscaler, large cloud, or large-scale datacenter).
- Proven track record of building an end-to-end ZTP/device-provisioning system from scratch.
- Strong software engineering fundamentals in Python and/or Go with production-grade practices (CI/CD, testing, code review).
- Hands-on depth with datacenter Clos fabrics and protocols: BGP, EVPN/VXLAN, and RoCEv2/RDMA.
- Fluency with gNMI/gNOI, OpenConfig/YANG, NETCONF, and source-of-truth systems like NetBox or Nautobot.
- Must be authorized to work in the United States.
Nice to have
- Experience with GPU/AI training or inference clusters and AMD networking ecosystem (Pensando DPUs).
- Familiarity with whitebox/disaggregated networking and SONiC at scale.
- Experience with network validation tools such as Batfish or containerlab.
- Experience with multi-site or multi-region datacenter buildouts.
Culture & Benefits
- Stock options and 401(k) plan.
- 100% paid Medical, Dental, and Vision insurance for employees.
- Flexible PTO and paid holidays.
- Company Health Savings Account (HSA) contributions.
- Parental leave and Employee Assistance Program.
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