AI Infrastructure Engineer — Multi-Cloud & Kubernetes in London
AI Infrastructure Engineer — Multi-Cloud & Kubernetes

AI Infrastructure Engineer — Multi-Cloud & Kubernetes in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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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

Join a pioneering deep tech company in London that champions innovation and collaboration, offering a vibrant work culture where your contributions directly shape the future of AI. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement, alongside competitive benefits that support work-life balance. Be part of a fast-growing team that values creativity and teamwork, making your role as an AI Infrastructure Engineer both meaningful and rewarding.
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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

Cloud Infrastructure
Kubernetes
DevOps Practices
Multi-Cloud Environments
On-Premise Environments
Scalable Solutions Design
Collaboration Skills
Hands-On Experience
AI Systems Management

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.

AI Infrastructure Engineer — Multi-Cloud & Kubernetes in London
Space Executive
Location: London
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  • AI Infrastructure Engineer — Multi-Cloud & Kubernetes in London

    London
    Full-Time
    43200 - 72000 £ / year (est.)
  • S

    Space Executive

    50-100
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