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 infrastructure, networking, and platform-related incidents.

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

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

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

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

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

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

• Engage in major incident management and service restoration efforts.

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

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

• Discover opportunities for automating repetitive operational tasks to enhance efficiency.

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

• Support the integration and operation of AI-driven infrastructure services and operational capabilities through k0rdent AI.

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

• Mentor and assist AI Infrastructure & Platform Operations Engineers.

• Share technical expertise through documentation, training sessions, and operational reviews.

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

• Help establish operational processes, escalation pathways, and service reliability criteria.

• Act as a trusted 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 similar technical roles.

• Advanced Linux administration and troubleshooting capabilities.

• Strong networking knowledge, including the diagnosis of complex performance, connectivity, and reliability issues.

• Extensive experience operating Kubernetes in production settings.

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

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

• Experience in performing root cause analysis and implementing long-term operational improvements.

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

• Exceptional troubleshooting and analytical abilities across multiple infrastructure domains.

• Strong interpersonal, collaboration, and stakeholder management skills.

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

🏝️ 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 environments.

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

• Influence the adoption of AI-driven operational capabilities via k0rdent AI.

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

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