At a Glance
- Tasks: Design and maintain cutting-edge hybrid infrastructure services across major cloud platforms.
- Company: Join the Audi Revolut F1® Team, a pioneering force in motorsport.
- Benefits: Competitive salary, dynamic work environment, and opportunities to innovate in F1 technology.
- Other info: Work in a fast-paced, high-performance team with excellent career growth potential.
- Why this job: Be part of a historic project and push the limits of technology in Formula 1.
- Qualifications: Degree in IT or Engineering with experience in cloud infrastructure and DevOps.
The predicted salary is between 63000 - 77000 £ per year.
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 Gmb H 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 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.
- Extensive xperience in hybrid cloud infrastructure, on-premise system engineering, platform engineering, Dev Ops 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.
- Find more English Speaking Jobs in United Kingdom on Arbeitnow
- Cloud & AI System Engineer, cloud, AI, system engineer
- #J-18808-Ljbffr
Cloud & AI System Engineer in Bicester employer: Audif1
At Audi Revolut F1 Team, we pride ourselves on being an exceptional employer, offering a dynamic work environment at our state-of-the-art Motorsport Technology Centre in Bicester, UK. Our culture fosters innovation and collaboration, providing employees with unique opportunities for growth and development within the thrilling world of Formula 1. Join us to be part of a pioneering team where your contributions will shape the future of motorsport technology.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud & AI System Engineer in Bicester
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Audif1 or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Audif1.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Audif1.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Audif1 that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Cloud & AI System Engineer in Bicester
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Audif1.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Audif1 and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Audif1
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Audif1 uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
