Mirantis Logo

Mirantis

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

Posted 8 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Berlin
Mid level
In-Office or Remote
Hiring Remotely in Berlin
Mid level
Operate and support large-scale AI infrastructure across datacenters: monitor production GPU-backed Kubernetes platforms, troubleshoot hardware, networking and platform incidents, participate in incident response and RCA, improve observability and automation, and maintain operational runbooks.
The summary above was generated by AI
Company Description

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. Learn more at www.mirantis.com.

Job Description

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.

Qualifications

  • 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.

Additional Information

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)!

Similar Jobs

4 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Software
Resolve complex technical customer issues for Vercel customers, troubleshoot with Engineering, develop internal tools and runbooks, act as domain owner for v0, partner with Product and Customer Success, mentor team members, and participate in scheduled on-call rotations.
Top Skills: AILlmV0VercelWeb Services
11 Hours Ago
Remote or Hybrid
Senior level
Senior level
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
Own distributor relationships and go-to-market execution for Netherlands and Belgium. Drive sell-through, revenue and margin targets, forecasts, budgets, training, new business identification, and cross-functional coordination for product launches and channel growth.
14 Hours Ago
Remote
Mid level
Mid level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Principal Solutions Engineer, you'll conduct customer discovery, deliver tailored product demonstrations, and collaborate to drive transformation deals while being fluent in German and English.
Top Skills: ConsultingProduct DemonstrationsProof-Of-ConceptSales EngineeringTechnical Presentations

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account