Cloud & AI System Engineer

We are seeking an experienced Cloud & AI System Engineer to join our high-performance IT Infrastructure team.

This position for the Audi Revolut F1® Team is based at Audi Motorsport Technology Centre, Bicester, UK.

• Design, deploy andmaintainsecure hybrid infrastructure services across Microsoft Azure, AWS, Microsoft 365,IAM/IDP,cloud-native platforms, data centre systems and localon-premiseenvironments at all company locations.
• Implement automation and infrastructure as code using tools such as Terraform, Ansible,scripting and CI/CD practices to improve reliability and repeatability.
• Operate and continuously improve Kubernetes, container platforms, integration services, monitoring, logging,secrets management and related platform components.
• Support the introduction and operation of approved AI platforms and AI-enabled IT services in line with company governance, cybersecurity, dataprotectionand compliance requirements.
• Monitor system performance, troubleshoot incidents,optimiseresource usage across hybrid cloud andon-premiseplatforms, and contribute to operational support including documentation and on-call readiness where required.

• Bachelor’s or Master’s degree in Computer Science, Information Technology,Engineeringor equivalent professional experience.
• Extensive xperience in hybrid cloud infrastructure,on-premisesystem engineering, platform engineering, Dev Ops or related IT operations roles.
• Practical experience with Azure,AWSand Microsoft 365 services, including secure design, deployment,administration and troubleshooting.
• Strong knowledge ofinfrastructureas code, automation, CI/CD, monitoring, logging, networking,virtualisation, storage, backup, Windows Serverand Linux system administration.
• Experience with Kubernetes, container platforms,secrets management, Kafka or ELK/Elastic-based monitoring and logging platforms.
• Understanding ofcybersecurity, access management, data protection and compliance requirements for cloud and AI-enabled services.
• Fluent in English, with strong written and verbal communication skills.
• Experience in motor sport, high-performance engineering, automotive, manufacturing or other fast-paced technical environments.
• Knowledge of AI platforms, MLOps concepts, Microsoft Copilot, generative AI services, data platforms or enterprise AI governance processes.
• Experience in cloud managed endpoint management.