AI Infrastructure & Platform Operations Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Oversee, manage, and provide support for production AI infrastructure platforms.

• Analyze and resolve incidents related to infrastructure, networking, hardware, and platforms.

• Provide support for NVIDIA GPU infrastructure and associated platform services.

• Monitor and diagnose issues in Kubernetes-based environments.

• Examine performance, availability, and reliability challenges across infrastructure and platform elements.

• Work collaboratively with engineering teams, hardware vendors, datacenter staff, and service delivery teams to address technical challenges.

• Engage in incident response, root cause analysis, and initiatives for operational enhancement.

• Contribute to advancements in monitoring, observability, automation, and operational processes.

• Keep operational documentation, runbooks, and knowledge articles updated.

⛳️ Requirements

• Minimum of 3 years' experience in infrastructure operations, platform operations, network operations, site reliability engineering, cloud operations, datacenter operations, or similar technical roles.

• Proficient in Linux administration and troubleshooting.

• Solid understanding of networking principles and experience in diagnosing infrastructure-related problems.

• Familiarity with Kubernetes in production settings.

• Experience in supporting production infrastructure and services.

• Strong analytical and problem-solving capabilities.

• Background in structured operational and incident management processes.

• Exceptional communication and collaboration abilities.

• Willingness to work in a shift-based operational setting.

• Experience in one or more of the following areas is highly advantageous: NVIDIA GPU infrastructure and accelerated computing platforms.

• InfiniBand networking and NVIDIA UFM.

• Operations on Kubernetes platforms.

• AI infrastructure or HPC environments.

• Site Reliability Engineering (SRE) or Platform Engineering.

• Familiarity with observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.

• Knowledge of infrastructure automation technologies and Infrastructure-as-Code practices.

• Experience with large-scale distributed systems and production platforms.

🏝️ Benefits

• Work with some of the most advanced AI infrastructure environments currently in production.

• Gain exposure to NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking settings.

• Contribute to defining the operational and support framework for next-generation AI infrastructure.

• Join a team that is shaping the future of AI-powered operations through k0rdent AI.

• Become part of a growing organization that is making significant investments in AI infrastructure and platform services.