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

Senior AI Infra Engineer for Cloud & Kubernetes

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

  • Tasks: Design and maintain cutting-edge AI infrastructure on AWS and Azure.
  • Company: Global leader in information and analytics with a focus on innovation.
  • Benefits: Generous holidays, wellbeing programs, and a supportive work environment.
  • Why this job: Join a diverse team and shape the future of AI technology.
  • Qualifications: Strong cloud administration and automation skills required.
  • Other info: Exciting opportunities for career growth in a dynamic field.

The predicted salary is between 43200 - 72000 £ per year.

A global information and analytics company seeks a Senior Systems Engineer II in the United Kingdom. This role involves designing, implementing, and maintaining the infrastructure for Generative AI services on AWS and Azure.

Key responsibilities include:

  • Integrating cloud services
  • Optimizing performance
  • Ensuring security while collaborating with a diverse team

Ideal candidates have strong backgrounds in cloud administration and automation, and are motivated to support innovative AI platforms. The position offers an array of benefits, including generous holidays and wellbeing programs.

Senior AI Infra Engineer for Cloud & Kubernetes employer: Elsevier

As a leading global information and analytics company, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from generous holiday allowances, comprehensive wellbeing programmes, and ample opportunities for professional growth, all while working in the vibrant tech landscape of the United Kingdom. Join us to be part of a forward-thinking team dedicated to shaping the future of AI infrastructure.
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Contact Detail:

Elsevier Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working with cloud and Kubernetes. A friendly chat can lead to insider info about job openings that might not even be advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI infrastructure. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common technical questions related to AWS, Azure, and Kubernetes. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

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

Cloud Administration
AWS
Azure
Infrastructure Design
Generative AI Services
Performance Optimisation
Security Management
Automation
Collaboration
Teamwork
Problem-Solving Skills
Innovative Thinking

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with cloud services 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 infrastructure and how your background makes you a perfect fit for our team. Keep it engaging and personal!

Showcase Your Technical Skills: Don’t forget to mention your expertise in AWS, Azure, and automation tools. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!

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. We can’t wait to hear from you!

How to prepare for a job interview at Elsevier

✨Know Your Cloud Services

Make sure you brush up on your knowledge of AWS and Azure. Be ready to discuss how you've integrated cloud services in past projects, as well as any specific tools or frameworks you've used. This will show that you're not just familiar with the platforms but can also leverage them effectively.

✨Showcase Your Automation Skills

Since automation is key in this role, prepare examples of how you've automated processes in previous positions. Whether it's through scripting or using CI/CD pipelines, having concrete examples will demonstrate your capability and understanding of optimising performance.

✨Emphasise Security Practices

Security is a big deal when it comes to cloud infrastructure. Be ready to talk about how you've ensured security in your previous roles, including any compliance standards you've adhered to. This will highlight your awareness of best practices and your commitment to maintaining secure environments.

✨Collaborate and Communicate

This role involves working with a diverse team, so be prepared to discuss your experience in collaborative environments. Share examples of how you've worked with cross-functional teams and how you handle communication challenges. This will show that you can thrive in a team-oriented setting.

Senior AI Infra Engineer for Cloud & Kubernetes
Elsevier

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