Senior AI Infrastructure, Platform Operations Engineer

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

📋 Description

• Lead the investigation and resolution of intricate infrastructure, networking, and platform-related incidents.

• Serve as a senior escalation point during critical events that impact service.

• Support extensive NVIDIA GPU infrastructure and high-performance networking environments.

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

• Analyze performance, capacity, stability, and reliability trends of the platform to identify potential risks.

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

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

• Engage in major incident management and service restoration activities.

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

• Enhance platform reliability, observability, monitoring, and operational processes.

• Automate repetitive operational tasks and boost operational efficiency.

• Participate in operational readiness reviews, infrastructure modifications, upgrades, and service launches.

• Facilitate the adoption and functioning of AI-driven infrastructure services via k0rdent AI.

• Assess new technologies and operational methodologies.

• Mentor and assist AI Infrastructure & Platform Operations Engineers.

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

• Help establish operational processes, escalation protocols, and service reliability benchmarks.

• Provide guidance on operational planning and initiatives for service enhancement.

⛳️ Requirements

• Over 7 years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or similar technical roles.

• Expertise in Linux administration and troubleshooting.

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

• Extensive experience operating Kubernetes in production settings.

• Background in supporting large-scale production infrastructure and distributed systems.

• Demonstrated ability to lead technical investigations and manage complex incidents.

• Experience in conducting root cause analysis and driving long-term operational enhancements.

• Solid understanding of observability, monitoring, and service reliability best practices.

• Exceptional troubleshooting and analytical skills across various infrastructure domains.

• Strong communication, collaboration, and stakeholder management abilities.

• Experience with NVIDIA GPU infrastructure, accelerated computing platforms, InfiniBand networking, AI infrastructure environments, HPC environments, Platform Engineering or SRE, extensive Kubernetes operations, infrastructure automation, Infrastructure-as-Code, observability platforms like Grafana, Prometheus, ELK, or OpenTelemetry, performance analysis and optimization of distributed infrastructure platforms, or technical leadership and mentoring roles is highly desirable.

🏝️ Benefits

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

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

• Contribute to defining operational standards and reliability practices for next-generation AI infrastructure services.

• Shape the adoption of AI-powered operational capabilities through k0rdent AI.

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

• Become part of a growing organization that is significantly investing in AI infrastructure, platform services, and operational innovation.