Senior AI Infrastructure, Platform Operations Engineer

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

📋 Description

• Oversee the investigation and resolution of intricate incidents related to infrastructure, networking, and platforms.

• Serve as a senior point of escalation for operational teams during significant service-impacting situations.

• Provide support for extensive NVIDIA GPU infrastructure and high-performance networking settings.

• Diagnose complex issues involving Linux, Kubernetes, networking, storage, and hardware.

• Examine platform performance, capacity, stability, and reliability trends to proactively pinpoint risks.

• Lead root cause analysis initiatives and implement long-term corrective measures.

• Collaborate with engineering teams, hardware vendors, and datacenter staff to tackle intricate technical challenges.

• Engage in major incident management and service restoration efforts.

• Offer technical leadership for Kubernetes platform operations and associated infrastructure services.

• Promote enhancements in platform reliability, observability, monitoring, and operational procedures.

• Identify chances to automate repetitive operational tasks and enhance operational efficiency.

• Contribute to operational readiness assessments, infrastructure modifications, upgrades, and service rollouts.

• Support the integration and functioning of AI-powered infrastructure services and operational capabilities using k0rdent AI.

• Assess emerging technologies and operational methodologies to enhance service delivery and platform resilience.

• Mentor and assist AI Infrastructure & Platform Operations Engineers.

• Disseminate technical knowledge through documentation, training sessions, and operational reviews.

• Create and maintain operational standards, runbooks, troubleshooting guides, and best practices.

• Assist in defining operational processes, escalation routes, and service reliability benchmarks.

• Act as a trusted technical advisor in operational planning and service enhancement initiatives.

⛳️ Requirements

• A minimum of 7 years’ experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or related technical roles.

• Expertise in Linux administration and troubleshooting.

• Strong networking skills, including the ability to diagnose complex performance, connectivity, and reliability issues.

• Significant experience managing Kubernetes in production environments.

• Experience supporting large-scale production infrastructure and distributed systems.

• Proven track record in leading technical investigations and managing complex incidents.

• Experience in conducting root cause analyses and promoting long-term operational enhancements.

• Robust understanding of observability, monitoring, and service reliability strategies.

• Exceptional troubleshooting and analytical abilities across various infrastructure domains.

• Strong communication, collaboration, and stakeholder management skills.

• Experience in one or more of the following areas is highly desirable: NVIDIA GPU infrastructure and accelerated computing platforms, InfiniBand networking and NVIDIA UFM, AI infrastructure environments, HPC environments, Platform Engineering or Site Reliability Engineering (SRE), large-scale Kubernetes operations, infrastructure automation technologies and Infrastructure-as-Code practices, observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry, performance analysis and optimization of distributed infrastructure platforms, and technical leadership, mentoring, or team lead responsibilities.

🏝️ Benefits

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

• Collaborate with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.

• Help establish operational standards and reliability practices for next-generation AI infrastructure services.

• Influence the integration of AI-powered operational capabilities through k0rdent AI.

• Work alongside highly skilled engineers addressing complex infrastructure and platform challenges at scale.

• Join a growing organization that is heavily investing in AI infrastructure, platform services, and operational innovation.