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 its related platform services

• Monitor and troubleshoot environments based on Kubernetes

• Investigate issues regarding performance, availability, and reliability across infrastructure and platform components

• 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 enhancements

• Contribute to advancements in monitoring, observability, automation, and operational workflows

• Keep operational documentation, runbooks, and knowledge articles up to date

⛳️ Requirements

• Minimum of 3 years of 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 grasp of networking principles and experience in diagnosing infrastructure-related challenges

• Practical knowledge of Kubernetes within production settings

• Experience in supporting production infrastructure and services

• Strong analytical abilities and problem-solving skills

• Familiarity with structured operational and incident management processes

• Excellent communication and collaboration capabilities

• Availability 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; 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

🏝️ 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 environments

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

• Be part of a team that is shaping the future of AI-powered operations through k0rdent AI

• Join a rapidly growing organization that is heavily investing in AI infrastructure and platform services