AI Infrastructure Platform Operations Engineer remote in the US

Our organization is establishing an Americas-based AI Infrastructure & Platform Operations unit dedicated to the management of expansive AI ecosystems utilizing NVIDIA GPU acceleration, high-speed interconnects, Kubernetes, and bleeding-edge platform frameworks. This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint. Positioned at the nexus of core infrastructure and network engineering, you will sustain the high-performance environments essential for contemporary AI application suites. This position offers the chance to engage with pioneering AI hardware while driving the development of automated operational capabilities via the k0rdent AI platform.

Responsibilities

• 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, Data Center 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.

Required Experience

• 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.

Preferred Experience

• Experience in 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

• Professional development and training.
• Attend conferences and working groups.
• Company outings, hackathons, and tech talks.
• Competitive compensation package with a strong benefits plan.
• Opportunity to work with advanced AI infrastructure environments in production today.