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AI Infrastructure & Platform Operations Engineer (Remote, US)

Mirantis

New Remote
Remote Senior 🇬🇧 English
Linux Kubernetes NVIDIA GPU InfiniBand NVIDIA UFM Grafana Prometheus ELK OpenTelemetry

Job description

About the role

Mirantis, a Kubernetes-native AI infrastructure company, is creating an Americas-based AI Infrastructure & Platform Operations unit focused on managing large AI ecosystems built on NVIDIA GPU acceleration, high-speed interconnects, Kubernetes and modern platform frameworks. The team keeps AI service platforms reliable and efficient across a global datacenter footprint, and the role sits at the intersection of core infrastructure and network engineering. It is fully remote in the US.

Key responsibilities

  • Monitor, operate and support production AI infrastructure platforms.
  • Investigate and resolve infrastructure, networking, hardware and platform incidents.
  • Support NVIDIA GPU infrastructure and its platform services, and monitor and troubleshoot Kubernetes environments.
  • Investigate performance, availability and reliability issues across infrastructure and platform components.
  • Collaborate with engineering teams, hardware vendors, data center personnel and service delivery teams to resolve technical issues.
  • Take part in incident response, root cause analysis and operational improvement.
  • Contribute to better monitoring, observability, automation and operational processes.
  • Maintain operational documentation, runbooks and knowledge articles.

Required profile

  • 3+ years of experience in infrastructure operations, platform operations, network operations, site reliability engineering, cloud operations, datacenter operations or similar roles.
  • Experience supporting production infrastructure and services.
  • Experience working within structured operational and incident management processes.
  • Ability to work in a shift-based operational environment.

Required skills

  • Strong Linux administration and troubleshooting skills.
  • Good understanding of networking concepts and experience diagnosing infrastructure issues.
  • Working knowledge of Kubernetes in production environments.
  • Analytical and problem-solving skills, and excellent communication and collaboration skills.

Preferred: NVIDIA GPU infrastructure, InfiniBand and NVIDIA UFM, Kubernetes platform operations, AI/HPC environments, SRE or platform engineering, observability tools such as Grafana, Prometheus, ELK or OpenTelemetry, infrastructure automation and IaC, and large-scale distributed systems.

What we offer

  • Work with advanced AI infrastructure environments and NVIDIA GPU technologies.
  • Professional development, training, conferences and working groups.
  • Company outings, happy hours, hackathons and tech talks.
  • A competitive compensation package with a strong benefits plan.

Questions fréquentes

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Published 23 hours ago

Expires 1 month from now

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