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Network Automation Software Lead

TensorWave· Engineering
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RemoteFull-timePosted 2mo ago

About the role

Lead the end-to-end zero-touch provisioning and automation platform for GPU network fabrics; build and mentor a small team of engineers and SREs; ensure zero human intervention, full fabric validation, and clean integration with the broader platform stack.

Responsibilities

  • Own the end-to-end ZTP pipeline: bare-metal switch boot → image + base config → registration in source of truth → full intended config → validation → production — with zero human intervention.
  • Build intent-based config generation off a network source of truth / IPAM, with GitOps-style deployment, pre/post-change validation, and safe rollout and rollback.
  • Establish network validation and pre-deployment testing (snapshot/digital-twin testing) so changes are caught before they hit production fabrics.
  • Build streaming telemetry and metrics/logging pipelines (gNMI / OpenConfig) for fabric health.
  • Instrument what matters for GPU networks: RoCE health (PFC/ECN counters), optics and link errors, BGP / EVPN state, capacity and utilization.
  • Deliver dashboards and alerting the network team actually uses — signal, not noise.
  • Gather requirements, build self-service APIs and interfaces, and relentlessly accelerate their deployment velocity.
  • Partner closely so the tooling reflects how the network is actually operated and turned up.
  • Hire, mentor, and grow a small team of software engineers and SREs; own roadmap, prioritization, and delivery — while still carrying a meaningful share of the code yourself.
  • Set technical direction and standards, and ensure clean integration points with the broader platform stack (infra provisioning, CI/CD, secrets, identity, existing observability).
  • Bring software engineering rigor to network automation: code review, testing, release management, and on-call ownership.

Qualifications

  • 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.
  • You've built or been a core contributor to a ZTP / device-provisioning system end-to-end, not just maintained one.
  • Strong software engineering fundamentals: Python and/or Go, with real production practices (version control, testing, CI/CD, code review).
  • Hands-on depth with datacenter Clos fabrics and the protocols that run them: BGP, EVPN/VXLAN, and ideally RoCEv2 / RDMA for GPU networks at scale.
  • Fluency with modern network automation tech: gNMI/gNOI, OpenConfig/YANG, NETCONF; source-of-truth systems (NetBox / Nautobot); NOS platforms (SONiC/FRR or vendor equivalents); tooling like Nornir / NAPALM / Ansible.
  • Experience with observability / telemetry pipelines (Prometheus, Grafana, Kafka, OpenTelemetry, or similar).
  • Comfort running services on Kubernetes / containers.
  • Leadership: you've led a team or been the clear technical owner of a platform, and you instinctively treat internal users as customers.

Skills

Required:ZTP / device provisioningPythonNetwork automation toolsDatacenter fabricsSource of truth systemsTelemetry / observabilityKubernetes / containersLeadership
Nice to have:Go

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
Last updated Sep 3, 2026. Interested? Apply on the company site.
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TensorWave: AI & HPC Cloud with AMD Instinct™

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