Mirantis logo
Mirantis

Strategic open source infrastructure for containers and virtual machines.

Senior AI Infrastructure, Platform Operations Engineer

Infrastructure EngineerInfrastructure EngineerFull TimeRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Europe

Posted

3 days ago

Salary

$90K - $105K / year

Seniority

Senior

Bachelor Degree7 yrs expEnglishCloudDistributed SystemsKubernetesLinux

Job Description

Senior AI Infrastructure, Platform Operations Engineer

Mirantis

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents. • Act as a senior escalation point for operational teams during critical service-impacting events. • Support large-scale NVIDIA GPU infrastructure and high-performance networking environments. • Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues. • Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks. • Lead root cause analysis activities and drive long-term corrective actions. • Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges. • Provide technical leadership for Kubernetes platform operations and supporting infrastructure services. • Drive improvements in platform reliability, observability, monitoring, and operational processes. • Identify opportunities to automate repetitive operational activities and improve operational efficiency. • Mentor and support AI Infrastructure & Platform Operations Engineers.

Job Requirements

  • 7+ years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or related technical roles.
  • Expert-level Linux administration and troubleshooting skills.
  • Strong networking expertise, including experience diagnosing complex performance, connectivity, and reliability issues.
  • Strong experience operating Kubernetes in production environments.
  • Experience supporting large-scale production infrastructure and distributed systems.
  • Proven experience leading technical investigations and managing complex incidents.
  • Experience performing root cause analysis and driving long-term operational improvements.
  • Strong understanding of observability, monitoring, and service reliability practices.
  • Excellent troubleshooting and analytical skills across multiple infrastructure domains.
  • Strong communication, collaboration, and stakeholder management skills.

Benefits

  • Operate some of the most advanced AI infrastructure environments in production today.
  • Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
  • Help define operational standards and reliability practices for next-generation AI infrastructure services.
  • Influence the adoption of AI-powered operational capabilities through k0rdent AI.
  • Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
  • Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.

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