StellenbeschreibungppWe are the Audi Revolut F1 Team. /p pAudi Revolut F1 Team is the official factory team of Audi, as the brand enters the FIA Formula 1 World Championship for the first time in 2026. /p pThe team is based in three locations: the power unit is developed by Audi Formula Racing GmbH at the Audi Competence Center Motorsport in Neuburg, Germany; the chassis is engineered and race operations are managed from the state-of-the-art facilities of Audi Motorsport AG in Hinwil, Switzerland; while the Audi Motorsport Technology Centre UK in Bicester, United Kingdom, provides a foothold in the heart of 'Motorsport Valley', with direct access to top F1 talent and key strategic partners. /p pWhat you need? The mindset of an athlete. If you are someone for whom giving up isn't an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history. /p pWe are seeking an experienced Cloud AI System Engineer to join our high-performance IT Infrastructure team. /p pThis position for the Audi Revolut F1 Team is based at Audi Motorsport Technology Centre, Bicester, UK /p h3Your mission /h3 ul liDesign, deploy andmaintainsecure hybrid infrastructure services across Microsoft Azure, AWS, Microsoft 365,IAM/IDP,cloud-native platforms, datacentre systems and localon-premiseenvironments at all company locations. /li liImplement automation and infrastructure as code using tools such as Terraform, Ansible,scriptingand CI/CD practices to improve reliability and repeatability. /li liOperate and continuously improve Kubernetes, container platforms, integration services, monitoring, logging,secretsmanagement and related platform components. /li liSupport the introduction and operation of approved AI platforms and AI-enabled IT services in line with company governance, cybersecurity, dataprotectionand compliance requirements. /li liMonitor system performance, troubleshoot incidents, optimise resource usage across hybrid cloud and on-premise platforms, and contribute to operational support including documentation and on-call readiness where required. /li /ul h3Your profile /h3 ul liBachelor's or Master's degree in Computer Science, Information Technology,Engineeringor equivalent professional experience. /li liExtensive experience in hybrid cloud infrastructure, on-premise system engineering, platform engineering, DevOps or related IT operations roles. /li liPractical experience with Azure,AWSand Microsoft 365 services, including secure design, deployment,administrationand troubleshooting. /li liStrong knowledge of infrastructureas code, automation, CI/CD, monitoring, logging, networking,virtualisation, storage, backup, WindowsServerand Linux system administration. /li liExperience with Kubernetes, container platforms,secretsmanagement, Kafka or ELK/Elastic-based monitoring and logging platforms. /li liUnderstanding of cybersecurity, access management, data protection and compliance requirements for cloud and AI-enabled services. /li liFluent in English, with strong written and verbal communication skills. /li liExperience in motorsport, high-performance engineering, automotive, manufacturing or other fast-paced technical environments. /li liKnowledge of AI platforms, MLOps concepts, Microsoft Copilot, generative AI services, data platforms or enterprise AI governance processes. /li liExperience in cloud managed endpoint management. /li /ul h3Every lap is a statement, every start a promise. This is what defines us. /h3 /p #J-18808-Ljbffr