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- Tasks: Design and operate cloud infrastructure for AI workloads while automating deployment.
- Company: Global information services company based in London with a focus on innovation.
- Benefits: Flexible working arrangements and opportunities for professional growth.
- Other info: Great opportunity to make an impact in a fast-paced environment.
- Why this job: Join a dynamic team and work on cutting-edge AI technologies.
- Qualifications: Extensive DevOps experience, automation tools knowledge, and strong cloud services understanding.
The predicted salary is between 60000 - 80000 £ per year.
A global information services company based in London is seeking a DevOps Engineer to design and operate cloud infrastructure for AI workloads. This role involves automating deployment and maintaining reliable environments across AWS and Azure.
Candidates should have extensive experience in DevOps roles, automation tools like Terraform, and a strong understanding of cloud services.
Join a dynamic team that values innovation and offers flexible working arrangements.
AI Platform DevOps Engineer — Hybrid employer: informa PLC
Contact Detail:
informa PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform DevOps Engineer — Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud infrastructure and automation tools like Terraform. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AWS and Azure. Practice common DevOps scenarios and be ready to discuss how you've automated deployments in past roles.
✨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 AI Platform DevOps Engineer — Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with DevOps roles and automation tools like Terraform. We want to see how your skills align with the job description, so don’t be shy about showcasing your cloud expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our dynamic team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's automating deployment or managing cloud environments, we want to see what you've done and how it relates to AI workloads.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at informa PLC
✨Know Your Cloud Services
Make sure you brush up on your knowledge of AWS and Azure. Be ready to discuss specific services you've used and how they relate to AI workloads. This will show that you understand the cloud infrastructure you'll be working with.
✨Showcase Your Automation Skills
Prepare to talk about your experience with automation tools like Terraform. Have examples ready where you've successfully automated deployment processes, as this is crucial for the role. Highlight any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
DevOps roles often involve troubleshooting and maintaining reliable environments. Think of scenarios where you've had to solve complex problems in cloud infrastructure and be ready to share your thought process during the interview.
✨Emphasise Team Collaboration
Since this role is part of a dynamic team, be prepared to discuss how you work with others. Share experiences where collaboration led to successful project outcomes, and express your enthusiasm for contributing to a team that values innovation.