AI Infrastructure & Platform Operations Engineer
- Role
- DevOps
- Experience
- Mid
- Employment
- Full-time
Open to Anywhere in EU. Set where you work from to check your eligibility.
No BS summary
Platform/infrastructure operations engineer with 3+ years in infrastructure, SRE, cloud, network, datacenter, or related ops. Must have strong Linux troubleshooting, production Kubernetes knowledge, networking fundamentals, and be able to work shifts. Remote role hiring in the EU.
Core skills
Required skills
Optional skills
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.
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.
The team is responsible for ensuring the availability, performance, and operational stability of critical AI infrastructure platforms deployed across multiple datacenters. Working at the intersection of infrastructure, networking, and platform operations, you will help support the environments that power modern AI workloads.
This is an opportunity to work with some of the latest technologies in AI infrastructure while contributing to the evolution of AI-powered operational services through platforms such as k0rdent AI.
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, datacenter 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.
- 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.
What does Mirantis offer you?
- 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.
It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]
By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.
#remote
We are a Leader for Container Management in G2 (#2 after AWS)!
We are a Leader for Container Management in G2 (#2 after AWS)!
What you'll do
- 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, datacenter 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.
What they require
- 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 in one or more of the following areas is highly desirable: NVIDIA GPU infrastructure and accelerated computing platforms.
- Preferred: InfiniBand networking and NVIDIA UFM.
- Preferred: Kubernetes platform operations.
- Preferred: AI infrastructure or HPC environments.
- Preferred: Site Reliability Engineering (SRE) or Platform Engineering.
- Preferred: Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.
- Preferred: Infrastructure automation technologies and Infrastructure-as-Code practices.
- Preferred: Large-scale distributed systems and production platforms.
- Preferred: Experience in one or more of the following areas is highly desirable: InfiniBand networking and NVIDIA UFM.
- Preferred: Experience in one or more of the following areas is highly desirable: Kubernetes platform operations.
- Preferred: Experience in one or more of the following areas is highly desirable: AI infrastructure or HPC environments.
- Preferred: Experience in one or more of the following areas is highly desirable: Site Reliability Engineering (SRE) or Platform Engineering.
- Preferred: Experience in one or more of the following areas is highly desirable: Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.
- Preferred: Experience in one or more of the following areas is highly desirable: Infrastructure automation technologies and Infrastructure-as-Code practices.
- Preferred: Experience in one or more of the following areas is highly desirable: Large-scale distributed systems and production platforms.
- Preferred: Experience in NVIDIA GPU infrastructure and accelerated computing platforms.
- Preferred: Experience in InfiniBand networking and NVIDIA UFM.
- Preferred: Experience in Kubernetes platform operations.
- Preferred: Experience in AI infrastructure or HPC environments.
- Preferred: Experience in Site Reliability Engineering (SRE) or Platform Engineering.
- Preferred: Experience in observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.
- Preferred: Experience in infrastructure automation technologies and Infrastructure-as-Code practices.
- Preferred: Experience in large-scale distributed systems and production platforms.
Benefits
- 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.
cloud computing software and services company
What people say about this company
3.2/ 5