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9 дней назад

AI Infrastructure Specialist (Kubernetes)

90 000 - 105 000€
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Infrastructure Specialist (Kubernetes): Leading end-to-end deployments of GPU-powered Kubernetes and vCluster environments for neocloud and AI Factory customers with an accent on bare-metal GPU infrastructure, networking, storage, and production validation. Focus on configuring GPU Operators, CUDA, CNI, distributed storage, RDMA/InfiniBand, and creating reusable deployment playbooks.

Location: Remote; EMEA; United States

Salary: €90,000–€105,000 estimated annual base salary in Germany and the United Kingdom, plus equity and bonus opportunities.

Company

hirify.global is a venture-backed startup building open-source Kubernetes tenancy and AI infrastructure platforms for AI cloud providers, AI factories, and enterprises.

What you will do

  • Lead end-to-end technical deployments for GPU neocloud and AI Factory customers, from bare-metal configuration to validated hirify.global environments.
  • Configure and troubleshoot GPU node infrastructure, including CNI plugins, GPU Operators, distributed storage, RDMA, and InfiniBand.
  • Deploy and validate Kubernetes and hirify.global for GPU-powered managed Kubernetes services.
  • Work with customer teams to transfer operational knowledge and build platform self-sufficiency.
  • Create reusable deployment playbooks and architectures, and document lessons learned for future customers.
  • Collaborate with Engineering, Product, and Sales to resolve infrastructure challenges and support proof-of-value engagements.

Requirements

  • At least 5 years of experience deploying and operating Kubernetes in production, preferably on bare metal or in complex environments.
  • Practical experience with NVIDIA GPU Operators, CUDA tooling, GPU scheduling, inference serving, and LLM deployment infrastructure.
  • Strong knowledge of CNI plugins, overlay networks, load balancing, layered connectivity diagnosis, persistent volumes, CSI drivers, and distributed storage.
  • Experience with automation scripts in Bash, Python, or Go.
  • Ability to operate effectively in ambiguous, fast-moving environments and create technical playbooks as needed.
  • Relevant Kubernetes certifications such as CKA or experience writing Kubernetes Operators.

Nice to have

  • Experience with Ceph, Rook, Weka, or Longhorn.
  • Experience building AI automation in documentation and contributing to shared knowledge bases.

Culture & Benefits

  • Remote-first work with flexible working hours and flexibility around the work environment.
  • Health, dental, vision, and life insurance, with coverage varying by country.
  • Equity and bonus opportunities in addition to the base salary.
  • Open-source development and collaboration with infrastructure engineers and customers.
  • Results-focused culture centered on ownership, execution, technical quality, and building modern infrastructure standards.

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