Cloud Platform Engineer - AWS/GCP, Kubernetes, Python
Cloud Platform Engineer - AWS/GCP, Kubernetes, Python

Cloud Platform Engineer - AWS/GCP, Kubernetes, Python

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement cloud solutions using AWS or GCP and Kubernetes.
  • Company: Fast-growing AI start-up in London with a vibrant culture.
  • Benefits: Hybrid work model, skill development, and collaborative team environment.
  • Why this job: Join a dynamic team and make an impact in the AI industry.
  • Qualifications: Experience with AWS/GCP, Kubernetes, and Python scripting.
  • Other info: Opportunity for growth in a cutting-edge tech environment.

The predicted salary is between 36000 - 60000 £ per year.

A fast-growing AI start-up in London is seeking a Cloud Engineer for their platform/DevOps team. The role requires expertise in AWS or GCP, Kubernetes experience, and strong scripting ability in Python.

As a self-starter, you will be responsible for end-to-end solutions, collaborating with Developers and Testers.

This position offers an excellent opportunity to develop your skills in a vibrant start-up environment with a hybrid work model, requiring in-office attendance twice a week.

Cloud Platform Engineer - AWS/GCP, Kubernetes, Python employer: Understanding Recruitment

Join a dynamic and innovative AI start-up in London, where you will thrive in a collaborative work culture that values creativity and initiative. With a hybrid work model and opportunities for professional growth, this role as a Cloud Platform Engineer allows you to enhance your skills while contributing to cutting-edge projects in a supportive environment. Experience the excitement of being part of a fast-paced team that is shaping the future of technology.
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Contact Detail:

Understanding Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Cloud Platform Engineer - AWS/GCP, Kubernetes, Python

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working at AI start-ups. A friendly chat can lead to insider info about job openings and even referrals.

✨Tip Number 2

Show off your skills! Create a GitHub repository showcasing your projects with AWS, GCP, Kubernetes, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding cloud architecture. Practice common interview questions related to DevOps and be ready to demonstrate your problem-solving abilities.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.

We think you need these skills to ace Cloud Platform Engineer - AWS/GCP, Kubernetes, Python

AWS
GCP
Kubernetes
Python
DevOps
End-to-End Solutions
Collaboration
Self-Starter
Scripting
Hybrid Work Model

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AWS or GCP, Kubernetes, and Python. We want to see how your skills match 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! Tell us why you’re excited about the Cloud Platform Engineer role and how your background makes you a perfect fit for our team. Keep it engaging and personal!

Show Off Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially related to cloud platforms or DevOps. We love seeing how you think on your feet and come up with innovative 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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Understanding Recruitment

✨Know Your Cloud Platforms

Make sure you brush up on your AWS and GCP knowledge. Be ready to discuss specific services, features, and how you've used them in past projects. This will show that you're not just familiar with the platforms but can also leverage them effectively.

✨Kubernetes Know-How

Since Kubernetes is a key part of the role, prepare to talk about your experience with it. Think of examples where you've deployed applications, managed clusters, or solved issues. Being able to share real-world scenarios will impress the interviewers.

✨Python Scripting Skills

As scripting is crucial for this position, be ready to demonstrate your Python skills. You might be asked to solve a coding problem or explain how you've automated tasks in the past. Practising common algorithms or scripts beforehand can give you an edge.

✨Collaboration is Key

This role involves working closely with Developers and Testers, so highlight your teamwork experience. Share examples of how you've collaborated on projects, resolved conflicts, or contributed to a positive team environment. This shows you're a self-starter who values collaboration.

Cloud Platform Engineer - AWS/GCP, Kubernetes, Python
Understanding Recruitment

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