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14 дней назад

Infrastructure Operations Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
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 Operations Engineer (AI) (OpenStack/Kubernetes/GPU infrastructure): Designing, deploying, and operating scalable OpenStack and Kubernetes environments for business-critical GPU workloads with an accent on infrastructure automation, GPU scheduling, security, and platform resilience. Focus on building servers and racks, operating physical data-centre infrastructure, leading incident response, and improving reliability across large-scale compute environments.

Location: Portugal; the role requires hands-on work in data centres and travel to Quebec sites as required.

Company

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

What you will do

  • Design, deploy, and operate OpenStack and Kubernetes environments for GPU workloads.
  • Build infrastructure using infrastructure-as-code and GitOps, automating provisioning, deployment, and operational workflows.
  • Optimise GPU workload scheduling with Kubernetes and NVIDIA tooling.
  • Implement monitoring, logging, and alerting to maintain platform stability.
  • 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.
  • Direct hands-on data-centre experience and willingness to 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 running 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 contributions.

Culture & Benefits

  • Flexible working arrangements, remote or hybrid depending on the role and location.
  • Competitive salary and annual discretionary bonus scheme.
  • Employee wellbeing benefits, 25 days of holiday, and public holidays.
  • Significant ownership, autonomy, and opportunities to experiment.
  • Career progression and growth opportunities in a collaborative, international environment.

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