高级AI基础设施与平台运维工程师（欧盟远程）
Senior AI Infrastructure & Platform Operations Engineer (remote in the EU)
关于 Mirantis
Mirantis 是一家以 Kubernetes 为核心的 AI 基础设施公司，使组织能够构建和运营可扩展、安全且自主的基础设施，用于现代 AI、机器学习和数据密集型应用。通过将开源创新与对 Kubernetes 编排的深入专业知识相结合，Mirantis 赋能平台工程团队在任何环境中——本地部署、云中、边缘或自主数据中心——交付可组合、生产就绪的开发者平台。随着企业应对日益复杂的 AI 驱动工作负载，Mirantis 提供了自动化、GPU 编排和策略驱动的控制，以自信和敏捷的方式管理基础设施。致力于开放标准并避免供应商锁定，Mirantis 确保客户对其基础设施战略拥有完全的控制权。
Mirantis 为许多全球领先的 enterprises 提供服务，包括 Adobe、DocuSign、Liberty Mutual、PayPal、Reliance Jio、Société Générale、Splunk 和 Volkswagen。了解更多信息，请访问 www.mirantis.com。
我们正在组建一支欧洲 AI 基础设施与平台运维团队，负责运营由 NVIDIA GPU、高性能网络、Kubernetes 和下一代平台技术驱动的大规模 AI 基础设施环境。
作为高级 AI 基础设施与平台运维工程师，您将在运维组织中担任技术领导者，提供在基础设施、网络、平台运维和服务可靠性方面的深厚专业知识。您将负责在复杂生产环境中推动运维卓越，并在关键事件和挑战性技术问题中担任主要升级点。
该职位结合了实际的技术运维与技术领导力，帮助制定运维标准、可靠性实践、自动化计划，并通过 k0rdent AI 等平台塑造 AI 驱动的运维服务的未来发展。
职责：
技术运维与服务可靠性
· 领导调查和解决复杂的基础设施、网络和平台相关事件。
· 在关键服务影响事件期间，作为运维团队的高级升级点。
· 支持大规模 NVIDIA GPU 基础设施和高性能网络环境。
· 排查复杂的 Linux、Kubernetes、网络、存储和硬件相关问题。
· 分析平台性能、容量等。
查看英文原文
About Mirantis
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.
Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com.
We are building a European AI Infrastructure & Platform Operations team responsible for operating large-scale AI infrastructure environments powered by NVIDIA GPUs, high-performance networking, Kubernetes, and next-generation platform technologies.
As a Senior AI Infrastructure & Platform Operations Engineer, you will serve as a technical leader within the operations organization, providing deep expertise across infrastructure, networking, platform operations, and service reliability. You will be responsible for driving operational excellence across complex production environments while acting as a key escalation point for critical incidents and challenging technical issues.
This role combines hands-on technical operations with technical leadership, helping shape operational standards, reliability practices, automation initiatives, and the future evolution of AI-powered operational services through platforms such as k0rdent AI.
Responsibilities:
Technical Operations & Service Reliability
· Lead the 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 complex Linux, Kubernetes, networking, storage, and hardware-related issues.
· Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
· Lead root cause analysis activities and drive long-term corrective actions.
· Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
· Participate in major incident management and service restoration activities.
Platform Operations & Engineering
· Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
· Drive improvements in 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 the 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.
Technical Leadership
· 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 trusted technical advisor during operational planning and service improvement initiatives.
Required Skills & Experience:
· 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 experience 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.
Experience in one or more of the following areas is highly desirable:
· NVIDIA GPU infrastructure and accelerated computing platforms.
· InfiniBand networking and NVIDIA UFM.
· AI infrastructure environments.
· HPC environments.
· Platform Engineering or Site Reliability Engineering (SRE).
· Large-scale Kubernetes operations.
· Infrastructure automation technologies and Infrastructure-as-Code practices.
· Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.
· Performance analysis and optimisation of distributed infrastructure platforms.
· Technical leadership, mentoring, or team lead responsibilities.
We offer:
· Operate some of the most advanced AI infrastructure environments in production today.
· Work with the latest 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 heavily in AI infrastructure, platform services, and operational innovation.
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