GPU-Accelerated AI Infra & Platform Ops Engineer

Mirantis; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Professional development

Conferences attendance

Team events

Job summary

PVH (Tommy Hilfiger/Calvin Klein) is building an Americas-based AI Infrastructure & Platform Operations unit to manage large AI ecosystems with NVIDIA GPUs, Kubernetes and cutting-edge frameworks. You will maintain reliability and architectural integrity across a global datacenter footprint.

You will work at the nexus of infrastructure and network engineering, driving automated operational capabilities and contributing to incident response, observability enhancements and runbooks for production

Qualifications

• 3+ years in infrastructure/operations, platform or SRE roles.
• Strong Linux admin and troubleshooting skills.
• Good networking knowledge and incident management experience.
• Production Kubernetes experience and collaboration across teams.

Responsibilities

• Monitor, operate and support AI infrastructure platforms.
• Investigate incidents: infra, networking, hardware and platform issues.
• Support NVIDIA GPU infrastructure and related services.
• Triage and resolve issues in Kubernetes-based environments.
• Collaborate with data center, hardware and engineering teams to fix problems.
• Participate in incident response and root cause analysis.
• Improve monitoring, observability, automation and runbooks.
• Maintain documentation and knowledge articles.

Skills

Linux administration

Networking concepts

Kubernetes production

Incident management

Analytical thinking

Communication

Tools

Grafana

Prometheus

ELK

OpenTelemetry

Job description

PVH (Tommy Hilfiger/Calvin Klein) is building an Americas-based AI Infrastructure & Platform Operations unit to manage large AI ecosystems with NVIDIA GPUs, Kubernetes and cutting-edge frameworks. You will maintain reliability and architectural integrity across a global datacenter footprint.

You will work at the nexus of infrastructure and network engineering, driving automated operational capabilities and contributing to incident response, observability enhancements and runbooks for production