Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. Backed by Insight and Sapphire.
About the role
Monitor, operate, and support production AI infrastructure platforms. Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
What they're looking for
- 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
More about this role
Our organization is establishing an Americas-based AI Infrastructure & Platform Operations unit dedicated to the management of expansive AI ecosystems utilizing NVIDIA GPU acceleration, high-speed interconnects, Kubernetes, and bleeding-edge platform frameworks.
This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint. Positioned at the nexus of core infrastructure and network engineering, you will sustain the high-performance environments essential for contemporary AI application suites.
This position offers the chance to engage with pioneering AI hardware while driving the development of automated operational capabilities via the k0rdent AI platform.
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,...
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