AI Infrastructure & Platform Operations Engineer (remote in the US)
At a glance
Mid-level ML Platform & Ops role at Mirantis. Remote, United States · full-time · no salary stated · we estimate $144,980–$225,625 across the United States.
Mirantis has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Run and support live AI infrastructure platforms, including NVIDIA GPU systems and their related services
- Diagnose faults in hardware, networks and platforms, then address performance, uptime and reliability problems
- Monitor Kubernetes environments and investigate operational issues across their components
- Bring engineering, data center, vendor and service teams together to work through technical problems
- Take part in incident response and root-cause reviews, improving observability, automation, procedures and support guides
What you bring
- At least three years in infrastructure, platform, network, cloud or data center operations, SRE, or a related technical role
- You can administer Linux systems, troubleshoot them, and diagnose network-related infrastructure faults
- You have practical Kubernetes knowledge from production environments and experience supporting live infrastructure services
- You bring analytical problem-solving ability, experience with structured incident handling, and readiness to work shifts
Who this fits
This role suits a mid-level operations engineer interested in supporting AI infrastructure, GPU systems and Kubernetes platforms. The job is remote in the US and includes shift-based operations.
From the employer
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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