About the role
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. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/ 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.
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, Data Center 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. Required Experience 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. Preferred Experience Experience in one or more of the following areas is highly desirable: 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.
