Cloud & AI System Engineer

Audi Revolut F1; Bicester; Remote; GBP 80,000 - 130,000; Full time

Job summary

Audi Revolut F1 Team is seeking an experienced Cloud & AI Systems Engineer to join its high‑performance IT Infrastructure team at the Audi Motorsport Technology Centre UK in Bicester. You will design and run secure hybrid cloud services across Azure, AWS, and on‑prem environments, implement IaC with Terraform/Ansible, and continuously improve Kubernetes‑based platforms.

The role requires extensive cloud, DevOps, and AI governance knowledge, with strong English communication.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering or equivalent.
• Extensive experience 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, virtualization, storage, 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.

Responsibilities

• Design, deploy and maintain secure hybrid infrastructure services across Azure, AWS, Microsoft 365, IAM/IDP, and on‑prem environments.
• Implement automation and infrastructure as code using Terraform, Ansible, scripting and CI/CD practices.
• Operate and improve Kubernetes and related platform components, monitoring and logging.
• Support AI platform introductions and AI‑enabled IT services in line with governance and compliance.
• Monitor performance, troubleshoot incidents, optimize resources, and contribute to documentation and on‑call readiness.

Skills

Hybrid cloud infra

DevOps practices

Kubernetes

Infrastructure as code

CI/CD

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Azure

AWS

Microsoft 365

Terraform

Ansible

Kubernetes

Kafka

ELK/Elastic

Windows Server

Linux

Job description

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 Systems 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

Your mission

• Design, 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.
• Implement automation and infrastructure as code using tools such as Terraform, Ansible,scriptingand CI/CD practices to improve reliability and repeatability.
• Operate and continuously improve Kubernetes, container platforms, integration services, monitoring, logging,secretsmanagement 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, optimise resource usage across hybrid cloud and on-premise platforms, and contribute to operational support including documentation and on-call readiness where required.

Your profile

• Bachelor’s orMaster’s degree in Computer Science, Information Technology,Engineeringor equivalent professional experience.
• Extensive experience in hybrid cloud infrastructure, on-premise system engineering, platform engineering, DevOps or related IT operations roles.
• Practical experience with Azure,AWSand Microsoft 365 services, including secure design, deployment,administrationand troubleshooting.
• Strong knowledge ofinfrastructureas code, automation, CI/CD, monitoring, logging, networking,virtualisation, storage, backup, WindowsServerand Linux system administration.
• Experience with Kubernetes, container platforms,secretsmanagement, 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 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.

Every lap is a statement, every start a promise.

This is what defines us.