Cloud & AI System Engineer

We are the Audi Revolut F1® Team.

Audi 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.

The 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.

What 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.

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 and maintain secure hybrid infrastructure services across Microsoft Azure, AWS, Microsoft 365, IAM/IDP, cloud-native platforms, data centre s ystems and local on-premise environments 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, data protection and compliance requirements. Monitor 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 r equired .

Bachelor’s or Master’s degree in Computer Science , Information Technology, Engineering or equivalent professional experience. Extensive xperience in hybrid cloud infrastructure, on-premise system engineering, platform engineering, DevOps or related IT operations roles. Practical experience with Azure, AWS and Microsoft 365 services, including secure design, deployment, administration and troubleshooting. Strong knowledge of infrastructure as code, automation, CI/CD, monitoring, logging, networking, virtualisation , storage, backup, Windows Server and Linux system administration. Experience with Kubernetes, container platforms, secrets management, Kafka or ELK/Elastic-based monitoring and logging platforms. Understanding of cybersecurity, 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 motorsport, 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.