Strategic open source infrastructure for containers and virtual machines.
Senior AI Infrastructure & Platform Operations Engineer
Location
Europe
Posted
9 days ago
Salary
$90K - $105K / year
Seniority
Senior
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. • Participate in major incident management and service restoration activities. • 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. • Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions. • Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI. • Evaluate emerging technologies and operational practices to improve service delivery and platform resilience. • Mentor and support AI Infrastructure & Platform Operations Engineers. • Share technical knowledge through documentation, training sessions, and operational reviews. • Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices. • Help define operational processes, escalation paths, and service reliability standards. • Act as a trusted technical advisor during operational planning and service improvement initiatives.
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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