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Audi Revolut F1 Team

Cloud & AI System Engineer

Bicester
Posted about 17 hours ago
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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

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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  • Design, deploy and maintain secure hybrid infrastructure services across Microsoft Azure, AWS, Microsoft 365, IAM/IDP, cloud-native platforms, datacentre systems 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 required.

Dein Profil

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering or equivalent professional experience.
  • 5+ years of 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, 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.
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Skills

Microsoft Azure
AWS
Microsoft 365
IAM/IDP
Terraform
Ansible
CI/CD
Kubernetes
Container Platforms
Linux Administration
Windows Server
Python Scripting
MLOps
Generative AI
Networking
Cybersecurity

Location

Bicester, England, United Kingdom

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