Remote AI Infrastructure & Platform Ops Engineer

Mirantis, Inc.; España; Remote; EUR 60,000 - 90,000; Full time

Job summary

Mirantis, Inc. is building a European AI Infrastructure & Platform Operations team responsible for operating large-scale AI infrastructure environments powered by NVIDIA GPUs, Kubernetes, and top-tier networking.

You will help ensure the availability, performance, and stability of critical platforms across multiple datacenters. This role involves monitoring GPU infrastructure, addressing incidents, and driving improvements in monitoring, observability, and automation.

Qualifications

• 3+ years of experience in infrastructure operations, platform operations, or related roles.
• Strong Linux administration and networking troubleshooting skills.
• Working knowledge of Kubernetes in production environments.
• Experience with observability tools and incident-management processes.

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.
• 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.

Skills

Linux

Networking

Kubernetes

GPU infra

SRE

Observability

Incident Mgmt

Automation

Tools

Grafana

Prometheus

ELK

OpenTelemetry

Job description

Mirantis, Inc. is building a European AI Infrastructure & Platform Operations team responsible for operating large-scale AI infrastructure environments powered by NVIDIA GPUs, Kubernetes, and top-tier networking.

You will help ensure the availability, performance, and stability of critical platforms across multiple datacenters. This role involves monitoring GPU infrastructure, addressing incidents, and driving improvements in monitoring, observability, and automation.