Senior AI Infrastructure, Platform Operations Engineer

Role Overview

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
• Act as a senior escalation point for operational teams during critical service-impacting events.
• Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
• Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
• Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
• Lead root cause analysis activities and drive long-term corrective actions.
• Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
• Participate in major incident management and service restoration activities.
• Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
• Drive improvements in platform reliability, observability, monitoring, and operational processes.
• Identify opportunities to automate repetitive operational activities and improve operational efficiency.
• Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
• Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
• Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
• Mentor and support AI Infrastructure & Platform Operations Engineers.
• Share technical knowledge through documentation, training sessions, and operational reviews.
• Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices.
• Help define operational processes, escalation paths, and service reliability standards.
• Act as a trusted technical advisor during operational planning and service improvement initiatives.

Requirements

• 7+ years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or related technical roles.
• Expert-level Linux administration and troubleshooting skills.
• Strong networking expertise, including experience diagnosing complex performance, connectivity, and reliability issues.
• Strong experience operating Kubernetes in production environments.
• Experience supporting large-scale production infrastructure and distributed systems.
• Proven experience leading technical investigations and managing complex incidents.
• Experience performing root cause analysis and driving long-term operational improvements.
• Strong understanding of observability, monitoring, and service reliability practices.
• Excellent troubleshooting and analytical skills across multiple infrastructure domains.
• Strong communication, collaboration, and stakeholder management skills.

Tech Stack

• Cloud
• Distributed Systems
• Kubernetes
• Linux

Benefits

• Operate some of the most advanced AI infrastructure environments in production today.
• Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
• Help define operational standards and reliability practices for next-generation AI infrastructure services.
• Influence the adoption of AI-powered operational capabilities through k0rdent AI.
• Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
• Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.