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6 часов назад

Infrastructure Engineer (AI Cloud)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Finland
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
Infrastructure Engineer (AI Cloud) (OpenStack/Kubernetes): Designing, deploying, and operating GPU infrastructure environments for a rapidly scaling AI cloud with an accent on performance, scalability, resilience, and automation. Focus on optimizing GPU workload scheduling, leading incident response, strengthening security controls, and physically commissioning data-center hardware.

Location: Finland; requires hands-on data-centre work and travel to Quebec sites as required.

Company

hirify.global operates Hyperstack, a full-stack AI cloud providing on-demand and private GPU infrastructure for researchers and enterprise workloads.

What you will do

  • Design, deploy, and operate OpenStack and Kubernetes environments for GPU workloads.
  • Build infrastructure with infrastructure-as-code and GitOps, automating provisioning, deployment, and operations.
  • Optimize GPU workload scheduling with Kubernetes and NVIDIA tooling.
  • Implement monitoring, logging, and alerting to improve platform stability and reliability.
  • Lead incident response and continuous reliability improvements.
  • Maintain RBAC, network policies, tenant isolation, and other infrastructure and container security controls while collaborating with Platform, DevOps, AI, Product, and Support teams.

Requirements

  • Extensive hands-on Linux systems administration experience.
  • Proven experience physically building, cabling, commissioning, stacking, and racking servers and hardware in data centres.
  • Ability to work hands-on at data-centre sites and travel to Quebec sites as required.
  • Strong understanding of networking and storage systems.

Nice to have

  • Experience installing, racking, and configuring GPU hardware, especially NVIDIA platforms.
  • Production experience operating OpenStack or Kubernetes at scale.
  • Experience with infrastructure automation, CI/CD, and Git-based workflows.
  • Exposure to HPC or large-scale compute environments.
  • Open-source project contributions.

Culture & Benefits

  • Competitive salary and annual discretionary bonus scheme.
  • Employee wellbeing benefits.
  • 25 days of holiday plus public holidays.
  • Flexible working arrangements, remote or hybrid depending on the role and location.
  • Autonomy, ownership, career progression, and opportunities to make a visible impact.
  • Collaborative international culture built on trust, transparency, and ownership.

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