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 the related platform services.

• Monitor and troubleshoot environments based on Kubernetes.

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

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

• Engage in incident response, root cause analysis, and activities aimed at operational improvement.

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

• Maintain operational documentation, runbooks, and knowledge articles.

⛳️ 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 understanding of networking concepts along with experience in diagnosing infrastructure-related issues.

• Familiarity with Kubernetes in production environments.

• Experience in supporting production infrastructure and services.

• Strong analytical and problem-solving abilities.

• Proven experience working within structured operational and incident management processes.

• Excellent communication and collaboration skills.

• Capability to work within a shift-based operational environment.

• Experience in one or more of the following areas is highly preferred: 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 operations and support of next-generation AI infrastructure.

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

• Join a growing organization that is making substantial investments in AI infrastructure and platform services.