Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
€90к-105к/год
€170к€200кмедиана€230к
По похожим ролям (50) ~ €200к/год
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Средняя вакансия
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Вакансия предлагает практическую работу в быстрорастущей сфере AI-инфраструктуры и понятную техническую роль, но базовая зарплата значительно ниже рыночного ориентира, что заметно снижает привлекательность предложения.
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Зарплата ниже рынкаШирокая зона ответственностиСовременный стекСфера AIТемп стартапа
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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