AI Infrastructure & Platform Operations Engineer (remote in the US)

Mirantis, Inc.; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Mirantis, Inc. is seeking an AI Infrastructure & Platform Operations Engineer to join our remote US-based team. You will monitor, operate, and optimize production AI infrastructure platforms, focusing on GPU-accelerated environments, Kubernetes, and platform services.

You will partner with engineering, data center, and service delivery teams to ensure high availability and performance. The role emphasizes incident response, automation, observability, and documentation, while supporting evolving

Qualifications

• 3+ years in infrastructure/platform operations, SRE, cloud or datacenter roles.
• Strong Linux administration and troubleshooting skills.
• Good networking understanding and diagnosing infrastructure issues.
• Experience with production Kubernetes environments.

Responsibilities

• Monitor, operate, and support production AI infrastructure platforms.
• Investigate and resolve infrastructure, networking, hardware, and platform incidents.
• Support NVIDIA GPU infrastructure and related platform services.
• Monitor and troubleshoot Kubernetes-based environments.
• Investigate performance, availability, and reliability issues across components.
• Collaborate with engineering, hardware, Data Center, and service teams to resolve issues.
• Participate in incident response, root cause analysis, and process improvements.
• Maintain runbooks and knowledge articles.

Job description

AI Infrastructure & Platform Operations Engineer (remote in the US)

• Full-time

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.