Senior Kubernetes Cloud Engineer for AI Infra
Senior Kubernetes Cloud Engineer for AI Infra

Senior Kubernetes Cloud Engineer for AI Infra

Full-Time 60000 - 80000 £ / year (est.) No home office possible
graphcore

At a Glance

  • Tasks: Develop and deploy cloud services while collaborating with software and operations teams.
  • Company: Join Graphcore, a leader in AI technology based in Bristol.
  • Benefits: Enjoy a competitive salary, flexible working hours, and comprehensive health insurance.
  • Other info: Dynamic team environment with opportunities for professional growth.
  • Why this job: Be at the forefront of AI advancements and make a real difference.
  • Qualifications: Bachelor's degree, Kubernetes management experience, and strong Linux skills.

The predicted salary is between 60000 - 80000 £ per year.

Graphcore in Bristol is looking for a Senior Engineer to join the Cloud Platform Team. You will develop and deploy cloud services, working alongside software and datacentre operations teams.

The ideal candidate will have:

  • A Bachelor's degree
  • Experience with Kubernetes management
  • Strong Linux skills

Benefits include a competitive salary, flexible working, and comprehensive health insurance. Join Graphcore to help advance AI technology and solutions.

Senior Kubernetes Cloud Engineer for AI Infra employer: graphcore

Graphcore is an exceptional employer located in the vibrant city of Bristol, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, we provide ample opportunities for professional development alongside competitive salaries, flexible working arrangements, and comprehensive health benefits. Join us to be part of a pioneering team advancing AI technology and solutions in a supportive environment.
graphcore

Contact Detail:

graphcore Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Kubernetes Cloud Engineer for AI Infra

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Graphcore on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.

✨Tip Number 2

Show off your skills! Prepare a mini-project or demo that highlights your Kubernetes management expertise. This hands-on approach can really impress during interviews.

✨Tip Number 3

Stay updated on AI trends! Read up on the latest in AI technology and how it relates to cloud services. Being knowledgeable will help us stand out in discussions.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what Graphcore is looking for.

We think you need these skills to ace Senior Kubernetes Cloud Engineer for AI Infra

Kubernetes Management
Cloud Services Development
Linux Skills
Collaboration with Software Teams
Collaboration with Datacentre Operations Teams
Bachelor's Degree
AI Technology Knowledge
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Kubernetes and Linux. 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 excited about the Senior Engineer position at Graphcore and how you can contribute to the Cloud Platform Team. Let your personality come through!

Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've faced in cloud services and how you tackled them. We love seeing candidates who can think critically and adapt to new situations!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at graphcore

✨Know Your Kubernetes Inside Out

Make sure you brush up on your Kubernetes management skills. Be ready to discuss your experience with deploying and managing cloud services, as well as any challenges you've faced and how you overcame them.

✨Show Off Your Linux Skills

Since strong Linux skills are a must for this role, prepare to demonstrate your proficiency. Think of specific examples where you've used Linux in your previous projects, and be ready to answer technical questions related to it.

✨Understand the Company and Its Goals

Do some homework on Graphcore and their mission to advance AI technology. Familiarise yourself with their products and recent developments in the AI space, so you can align your answers with their goals during the interview.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about the Cloud Platform Team and their projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Senior Kubernetes Cloud Engineer for AI Infra
graphcore

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