Cloud & AI System Engineer

Audif1 · Bicester United Kingdomsenior

In short

▸Ingeniero de sistemas híbridos en cloud y IA para un equipo de F1 de alta performance.
▸Diseña, implementa y mantiene infraestructura híbrida en Azure, AWS y on-premise con automatización y CI/CD.
▸Destacado por trabajar en un equipo de F1 con tecnología de vanguardia y en entorno de alta exigencia técnica.

Fluent in English

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

What they ask for

✓Titulación en Ciencias de la Computación, TI o ingeniería (o experiencia equivalente)
✓Experiencia en infraestructura híbrida: cloud (Azure, AWS), on-premise y sistemas de datos
✓Conocimiento práctico de IaC, Terraform, Ansible, scripts y CI/CD
✓Experiencia con Kubernetes, contenedores, monitoring (ELK/Kafka), gestión de secretos
✓Comprensión de ciberseguridad, identidad (IAM/IDP), protección de datos y cumplimiento
✓Inglés fluido y habilidades de comunicación escrita y verbal

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Microsoft AzureAWSMicrosoft 365TerraformAnsibleKubernetesContainer PlatformsCI/CDELKKafka

Who should you write to at Audif1?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Join Our Team 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 Deine Aufgabe 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 . Dein Profil 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.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.