AI Infrastructure & Platform Operations Engineer (remote in the US)
Key Skills for This Role
Full Job Posting
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.
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.
We are a Leader for Container Management in G2 (#2 after AWS)!
About Mirantis
Kubernetes-native AI infrastructure and cloud software company serving enterprises with open-source orchestration, automation, security, and support.
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