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.

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.

AI Infrastructure & Platform Operations Engineer

Key skills