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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.
- 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.
- Other info: Great opportunity to make an impact in a fast-paced environment.
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 in London 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 in London
✨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 or GitHub repository showcasing your projects, especially those involving cloud infrastructure and automation tools like Terraform. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your DevOps knowledge. Practice common scenarios you might face, especially around AWS and Azure. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Platform DevOps Engineer — Hybrid in London
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 your background in cloud infrastructure can benefit our team. Let us know what makes you tick!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's automating deployments or managing environments across AWS and Azure, we love seeing real-world examples of your work.
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. Don’t miss out!
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 environment you'll be working in.
✨Showcase Your Automation Skills
Prepare to talk about your experience with automation tools like Terraform. Have examples ready that demonstrate how you've successfully automated deployment processes in previous roles. This will highlight your hands-on experience and problem-solving abilities.
✨Understand the Company Culture
Research the company’s values and culture, especially their focus on innovation. Think of ways you can contribute to this dynamic team and be ready to share your thoughts during the interview. This shows you're not just a fit for the role, but for the team as well.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, current projects, or future goals related to AI infrastructure. This not only demonstrates your interest in the role but also helps you gauge if the company is the right fit for you.