At a Glance
- Tasks: Design and manage infrastructure for cutting-edge AI systems across multi-cloud environments.
- Company: Pioneering deep tech company in London leading AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a fast-growing team and make a real impact in the AI field.
- Qualifications: Strong experience in cloud infrastructure, Kubernetes, and DevOps practices.
- Other info: Dynamic work environment with exciting challenges and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering deep tech company in London is seeking an Infrastructure AI Engineer to design and manage the infrastructure for advanced AI systems. In this hands-on role, you will collaborate with teams to deliver scalable solutions across multi-cloud and on-premise environments.
The ideal candidate will have strong experience in cloud infrastructure and expertise in Kubernetes and DevOps practices. Join a fast-growing team at the forefront of AI innovation and make a significant impact.
AI Infrastructure Engineer — Multi-Cloud & Kubernetes in London employer: Space Executive
Contact Detail:
Space Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Engineer — Multi-Cloud & Kubernetes in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud infrastructure space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Kubernetes and multi-cloud solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with DevOps practices. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Infrastructure Engineer — Multi-Cloud & Kubernetes in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud infrastructure and Kubernetes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about working in a pioneering deep tech company.
Showcase Your DevOps Knowledge: Since this role involves DevOps practices, make sure to mention any tools or methodologies you’ve used. We love seeing candidates who can demonstrate their hands-on experience in delivering scalable solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our fast-growing team!
How to prepare for a job interview at Space Executive
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud infrastructure, Kubernetes, and DevOps practices. Be ready to discuss specific projects you've worked on and the challenges you faced. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in previous roles. Think of examples where you designed scalable solutions or improved existing systems. This will demonstrate your ability to think critically and innovate in a fast-paced environment.
✨Familiarise Yourself with the Company’s Vision
Research the company’s mission and recent projects in AI. Understanding their goals will help you align your answers with what they value. It also shows genuine interest, which can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.