AI基础设施与平台运维工程师（美国远程）
AI Infrastructure & Platform Operations Engineer (remote in the US)
Mirantis 是一家以 Kubernetes 为核心的 AI 基础设施公司，帮助组织构建和运营可扩展、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。通过结合开源创新与对 Kubernetes 编排的深入专业知识，Mirantis 赋能平台工程团队在任何环境中——本地部署、云环境、边缘计算或自主数据中心——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，以自信和敏捷地管理基础设施。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控制权。https://www.mirantis.com/
我们的组织正在建立一个基于美洲的 AI 基础设施与平台运维团队，专注于利用 NVIDIA GPU 加速、高速互连、Kubernetes 和前沿平台框架来管理大规模 AI 生态系统。
该团队负责在全球数据中心范围内维护关键 AI 服务平台的可靠性、效率和架构完整性。位于核心基础设施与网络工程的交汇点，你将维护高性能环境，这些环境对于现代 AI 应用套件至关重要。
此职位提供与前沿 AI 硬件合作的机会，并通过 k0rdent AI 平台推动自动化运维能力的发展。
职责
· 监控、操作和支持生产环境的 AI 基础设施平台。
- 调查并解决基础设施、网络、硬件和平台相关事件。
- 支持 NVIDIA GPU 基础设施及相关平台服务。
- 监控和排查 Kubernetes 基础环境。
- 调查基础设施和平台组件中的性能、可用性和可靠性问题。
- 与工程团队、硬件供应商、数据中心人员和服务交付团队协作解决技术问题。
- 参与事件响应、根本原因分析和运维改进活动。
- 为监控、可观测性、自动化和运维流程的改进做出贡献。
- 维护运维文档、操作手册和知识文章。
- 所需经验
- 3 年以上经验
查看英文原文
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.
Why Join Us?
· Work with some of the most advanced AI infrastructure environments in production today.
- 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 heavily in AI infrastructure and platform services.
What does Mirantis offer you?
· Work with an established Silicon Valley leader in the cloud infrastructure industry;
· Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
· Be a part of cutting-edge, open-source innovation;
· Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
· Professional development and training;
· Attend conferences and working groups;
· Company outings, happy hours, hackathons, and tech talks;
· Receive a competitive compensation package with a strong benefits plan.
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