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.

• Identify and resolve incidents related to infrastructure, networking, hardware, and platform operations.

• Provide support for NVIDIA GPU infrastructure and its 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 suppliers, 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.

• 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 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.

• Excellent communication and teamwork abilities.

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

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

• Knowledge of InfiniBand networking and NVIDIA UFM.

• Expertise in Kubernetes platform operations.

• Familiarity with AI infrastructure or HPC environments.

• Background in Site Reliability Engineering (SRE) or Platform Engineering.

• Experience with observability platforms like 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 environments.

• Contribute to defining the operation 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 significant investments in AI infrastructure and platform services.