AI Platform Operation Engineer

World Wide Technology (WWT), a global technology integrator and IT solutions provider.World Wide Technology, established in 1990 in St.Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.Louis, Missouri, collaborates with OEMs like Cisco and Dell EMC to offer infrastructure security and custom app development services to Fortune 500 companies in various sectors.With over 10,000 employees globally, we generate $17 billion in annual revenue and operate in regions including the US, UK, Canada, Europe, Costa Rica, APAC, and Middle East.We're proud to be consistently recognized as a top employer by Fortune and Glassdoor for over 13 years.World Wide Technology Holding Co, LLC (WWT) has an opportunity for a AI Platform Operations Manager .Below is the JD for the role.Please help me with the information needed to process your application, and I will contact you to discuss the role.This is a contract Role & Outside IR35 Role: AI Platform Operations Manager Location: United Kingdom Remote with some travel to London Contract Duration: 6 Months Key Responsibilities L1 support for customer-reported issues and requests L2 support by diagnosing, replicating, and troubleshooting issues across platform and infrastructure.Coordinate resolution of complex issues (L3) to (vendor) produc t /engineering teams and manage vendor responses.Monitor system health, alerts, and customer usage patterns.Document solutions/workarounds, create and maintain knowledge, document support procedures.Automate common tasks and fixes.Configure and integrate tooling to support optimal operation of the platform , and support tool selection.Assist customers with platform configuration, onboarding, and usage best practices.Collaborate with platform and infrastructure support/engineering teams to resolve platform integration issues.Ensure SLAs and customer satisfaction targets are met.W ork with customers and multiple stakeholders to understand requirements and challenges, provide reporting on usage, workflow and billing.Technical responsibilities Cluster Infrastructure management: Managing the Nvidia GPU cluster.? High availability and resilience: Implement failover strategies and manage maintenance events to minimize downtime.Resource allocation and optimization: Resource partitioning (GPU resources), workload scheduling, capacity planning Performance monitoring and troubleshooting: Performance analysis, monitoring ( Realtime) with available Nvidia and HPE tools? Incident response: node failure management, network issues, driver issues, troubleshooting common issues and then working with vendor support to resolve any critical issues.Security and access control: Manage user permissions, RBAC, security hardening, data protection.? Required Skills & Experience 10 years of experience (or equivalent) in technical support, system engineering, or platform operations Strong understanding of L1 and L2 support processes (ticketing, escalation, troubleshooting) Familiarity with cloud-based platforms, APIs, and distributed systems Understanding of AI/ML concepts and tooling (model training, inference, data pipelines basics) Experience with monitoring/logging tools (e.g., Grafana, Kibana, Splunk) Excellent communication skills to interface with both customers and internal / vendor teams Good understanding of tools requirements for ML engineers and data scientists , and how to optimize the experience.Core Technical skills: System administration experience with OS's like RHEL/CentOS, Ubuntu, tuning Linux kernel Proficiency with Ansible, Nvidia and CUDA toolkits, Kubernetes, and container orchestration Understanding of automation, monitoring, and security with GPU as a service Preferred experience Experience supporting HPE PCAI or other AI/ HPC infrastructure and platforms.Experience with GPU resource allocation (across instances, GPUs count and time) Advanced networking skills with High performance networking, troubleshooting and fine tuning.Background in DevOps or SRE practices ITIL familiarityd02fcfcb-6df4-40ee-95cf-3eb059ce3173

Created: 2025-10-10