About The Position
Mirantis is building a European AI Infrastructure & Platform Operations team to operate large-scale AI infrastructure powered by NVIDIA GPUs, high-performance networking, Kubernetes, and next-generation platform technologies. The Senior AI Infrastructure & Platform Operations Engineer serves as a technical leader in the operations organization, bringing expertise in infrastructure, networking, platform operations, and service reliability. The role drives operational excellence across complex production environments and serves as a senior escalation point for critical incidents and challenging technical issues. It combines hands-on technical operations with leadership in shaping operational standards, reliability practices, automation initiatives, and AI-powered operational services through platforms such as k0rdent AI.
Requirements
- 7+ years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or related technical roles.
- Expert-level Linux administration and troubleshooting skills.
- Strong networking expertise, including diagnosing complex performance, connectivity, and reliability issues.
- Strong experience operating Kubernetes in production environments.
- Experience supporting large-scale production infrastructure and distributed systems.
- Proven experience leading technical investigations and managing complex incidents.
- Experience performing root cause analysis and driving long-term operational improvements.
- Strong understanding of observability, monitoring, and service reliability practices.
- Excellent troubleshooting and analytical skills across multiple infrastructure domains.
- Strong communication, collaboration, and stakeholder management skills.
Nice To Haves
- Experience with NVIDIA GPU infrastructure and accelerated computing platforms.
- Experience with InfiniBand networking and NVIDIA UFM.
- Experience in AI infrastructure environments.
- Experience in HPC environments.
- Experience in Platform Engineering or Site Reliability Engineering (SRE).
- Experience with large-scale Kubernetes operations.
- Experience with infrastructure automation technologies and Infrastructure-as-Code practices.
- Experience with observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.
- Experience with performance analysis and optimisation of distributed infrastructure platforms.
- Technical leadership, mentoring, or team lead experience.
Responsibilities
- Lead investigation and resolution of complex infrastructure, networking, and platform-related incidents.
- Act as a senior escalation point for operational teams during critical service-impacting events.
- Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
- Troubleshoot Linux, Kubernetes, networking, storage, and hardware-related issues.
- Analyze platform performance, capacity, stability, and reliability trends to identify risks proactively.
- Lead root cause analysis and drive long-term corrective actions.
- Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve technical challenges.
- Participate in major incident management and service restoration activities.
- Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
- Improve platform reliability, observability, monitoring, and operational processes.
- Identify opportunities to automate repetitive operational activities and improve operational efficiency.
- Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
- Support adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
- Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
- Mentor and support AI Infrastructure & Platform Operations Engineers.
- Share technical knowledge through documentation, training sessions, and operational reviews.
- Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices.
- Help define operational processes, escalation paths, and service reliability standards.
- Act as a technical advisor during operational planning and service improvement initiatives.
Benefits
- Operate advanced AI infrastructure environments in production.
- Work with NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
- Help define operational standards and reliability practices for next-generation AI infrastructure services.
- Influence the adoption of AI-powered operational capabilities through k0rdent AI.
- Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
- Join a growing organisation investing in AI infrastructure, platform services, and operational innovation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
