Senior AI Infrastructure & Platform Operations Engineer

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

📋 Description

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

• Serve as a senior escalation resource for operational teams during critical events that impact services.

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

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

• Evaluate platform performance, capacity, stability, and reliability trends to proactively detect risks.

• Lead root cause analysis efforts and advocate for long-term corrective measures.

• Collaborate with engineering teams, hardware suppliers, and datacenter staff to tackle complex technical challenges.

• Engage in major incident management and activities aimed at restoring services.

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

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

• Recognize opportunities to automate repetitive operational tasks and enhance efficiency.

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

• Assist in the adoption and operation of AI-driven infrastructure services and operational capabilities via k0rdent AI.

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

• Mentor and provide support to AI Infrastructure & Platform Operations Engineers.

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

• Develop and uphold operational standards, runbooks, troubleshooting guides, and best practices.

• Help outline operational processes, escalation pathways, and service reliability benchmarks.

• Act as a reliable technical advisor during operational planning and service enhancement initiatives.

⛳️ Requirements

• 7+ years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or related technical fields.

• Advanced proficiency in Linux administration and troubleshooting.

• Strong expertise in networking, including the ability to diagnose complex performance, connectivity, and reliability challenges.

• Significant experience managing Kubernetes in production settings.

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

• Demonstrated experience leading technical investigations and managing complicated incidents.

• Proficiency in conducting root cause analysis and implementing long-term operational enhancements.

• Deep understanding of observability, monitoring, and service reliability practices.

• Exceptional troubleshooting and analytical skills across various infrastructure domains.

• Strong communication, collaboration, and stakeholder management abilities.

🏝️ Benefits

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

• Work with cutting-edge NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking setups.

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

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

• Collaborate with highly skilled engineers to resolve complex infrastructure and platform challenges at scale.

• Join a rapidly growing organization that is making significant investments in AI infrastructure, platform services, and operational innovation.