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2 дня назад

Network Automation Engineer (AI)

225 000 - 290 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Network Automation Engineer (AI): Building and operating large-scale GPU compute fabric infrastructure with an accent on network source of truth, automated configuration generation, and simulation environments. Focus on developing CI/CD pipelines for network changes, ensuring state consistency, and instrumenting massive-scale fabric telemetry.

Location: Palo Alto, CA (Hybrid)

Salary: $225,000 – $290,000 USD

Company

hirify.global is a category-defining, fully vertically integrated AI infrastructure platform building the infrastructure layer of the AI era from the ground up.

What you will do

  • Own and maintain the network source of truth for large-scale GPU compute clusters.
  • Develop automated configuration generation workflows to ensure network state is programmatic and idempotent.
  • Build and operate simulation environments to validate fabric changes before deployment.
  • Create CI/CD pipelines for network changes, including schema checks, config diffs, and routing assertions.
  • Instrument fabric telemetry and develop tooling to manage and reason about massive-scale topologies.
  • Collaborate with bring-up teams to automate cabling validation and acceptance testing.

Requirements

  • 4+ years of experience in network automation, infrastructure software, or network engineering.
  • Strong proficiency in Python for production environments, including testing and CI/CD.
  • Experience with network source of truth tools like NetBox or Nautobot.
  • Deep understanding of network fundamentals including L2/L3, BGP, ECMP, and leaf-spine architectures.
  • Hands-on experience with network simulation or emulation tools like containerlab.
  • Ability to write production-grade code in shared repositories under rigorous review standards.

Nice to have

  • Fluency with AI-assisted development and agentic CLI tools.
  • Experience with configuration analysis tools like Batfish.
  • Knowledge of GPU fabric technologies such as RoCE v2, InfiniBand, or NCCL.
  • Familiarity with Go or Rust.
  • Experience with Kubernetes operators or controller patterns.

Culture & Benefits

  • Competitive salary and equity in the company.
  • Comprehensive health, wellbeing, and insurance benefits.
  • Retirement and pension contributions.
  • Generous annual vacation allowance.
  • Supportive environment focused on work-life balance and professional growth.

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