Resumo da vaga

AI Infrastructure & Platform Operations Engineer (remote in the EU)

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Responsibilities:

  • Monitor, operate, and support production AI infrastructure platforms.
  • Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
  • Support NVIDIA GPU infrastructure and associated platform services.
  • Monitor and troubleshoot Kubernetes-based environments.
  • Investigate performance, availability, and reliability issues across infrastructure and platform components.
  • Collaborate with engineering teams, hardware vendors, datacenter personnel, and service delivery teams to resolve technical issues.
  • Participate in incident response, root cause analysis, and operational improvement activities.
  • Contribute to improvements in monitoring, observability, automation, and operational processes.
  • Maintain operational documentation, runbooks, and knowledge articles.

Responsibilities:

  • 3+ years of experience in infrastructure operations, platform operations, network operations, site reliability engineering, cloud operations, datacenter operations, or related technical roles.
  • Strong Linux administration and troubleshooting skills.
  • Good understanding of networking concepts and experience diagnosing infrastructure-related issues.
  • Working knowledge of Kubernetes in production environments.
  • Experience supporting production infrastructure and services.
  • Strong analytical and problem-solving skills.
  • Experience working within structured operational and incident management processes.
  • Excellent communication and collaboration skills.
  • Ability to work within a shift-based operational environment.

Responsibilities:

  • NVIDIA GPU infrastructure and accelerated computing platforms.
  • InfiniBand networking and NVIDIA UFM.
  • Kubernetes platform operations.
  • AI infrastructure or HPC environments.
  • Site Reliability Engineering (SRE) or Platform Engineering.
  • Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.
  • Infrastructure automation technologies and Infrastructure-as-Code practices.
  • Large-scale distributed systems and production platforms.

What does Mirantis offer you?

  • Work with some of the most advanced AI infrastructure environments in production today.
  • Gain exposure to NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
  • Help define how next-generation AI infrastructure is operated and supported.
  • Be part of a team shaping the future of AI-powered operations through k0rdent AI.
  • Join a growing organisation investing heavily in AI infrastructure and platform services.
  • Salary range: $60000-$67000 gross per year
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FocoAI Infrastructure OperationsÁrea da vaga
Sinal de senioridadeMiddleNível do candidato
StackAWS, KubernetesSkills principais
Localização40 países aceitosElegibilidade

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