About The Position
Mirantis is building a European AI Infrastructure & Platform Operations team to operate large-scale AI infrastructure environments powered by NVIDIA GPUs, high-performance networking, Kubernetes, and next-generation platform technologies. The team ensures the availability, performance, and operational stability of critical AI infrastructure platforms deployed across multiple datacenters. Working across infrastructure, networking, and platform operations, the engineer supports environments that power modern AI workloads and contributes to the evolution of AI-powered operational services through platforms such as k0rdent AI. The role involves operating and supporting production AI infrastructure platforms, investigating incidents and performance or reliability issues, and collaborating with engineering teams, hardware vendors, datacenter personnel, and service delivery teams. The engineer also contributes to operational improvements, monitoring, observability, automation, and documentation.
Requirements
- At least 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.
Nice To Haves
- Experience with NVIDIA GPU infrastructure and accelerated computing platforms.
- Experience with InfiniBand networking and NVIDIA UFM.
- Experience with Kubernetes platform operations.
- Experience in AI infrastructure or HPC environments.
- Experience in Site Reliability Engineering (SRE) or Platform Engineering.
- Experience with observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.
- Experience with infrastructure automation technologies and Infrastructure-as-Code practices.
- Experience with large-scale distributed systems and production platforms.
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, 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.
Benefits
- Work with advanced AI infrastructure environments in production.
- Gain exposure to NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
- Help define how next-generation AI infrastructure is operated and supported.
- Be part of a team shaping the future of AI-powered operations through k0rdent AI.
- Join a growing organisation investing in AI infrastructure and platform services.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
