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- Tasks: Design and manage cloud infrastructure for AI workloads using AWS and Azure.
- Company: Global business services company based in London with a supportive community.
- Benefits: Flexible benefits, career opportunities, and a collaborative work environment.
- Why this job: Join a team enhancing production-ready AI services and make a real impact.
- Qualifications: Extensive DevOps experience with knowledge of Infrastructure-as-Code and machine learning.
- Other info: Great career growth opportunities in a dynamic tech landscape.
The predicted salary is between 42000 - 84000 £ per year.
A global business services company based in London seeks a skilled DevOps Engineer to design and manage cloud infrastructure for AI workloads. You will automate deployment paths and maintain environments using AWS and Azure. Ideal candidates should have extensive experience in DevOps with knowledge of Infrastructure-as-Code and machine learning environments.
Join a supportive community focusing on collaboration to enhance production-ready AI services, offering career opportunities and flexible benefits.
AI-Ready DevOps Engineer — Cloud Infra & IaC in London employer: Informa
Contact Detail:
Informa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Ready DevOps Engineer — Cloud Infra & IaC in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other DevOps enthusiasts. 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 AWS, Azure, and Infrastructure-as-Code. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of cloud infrastructure and automation tools. Practice common DevOps scenarios and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to stay updated on new opportunities tailored to your skills in AI and cloud environments.
We think you need these skills to ace AI-Ready DevOps Engineer — Cloud Infra & IaC in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud infrastructure, especially AWS and Azure. We want to see how you've automated deployment paths and managed environments, so don’t hold back on those details!
Showcase Your Skills: In your cover letter, emphasise your knowledge of Infrastructure-as-Code and any relevant machine learning projects. We love seeing how you’ve applied your skills in real-world scenarios, so share those examples!
Be Authentic: Let your personality shine through in your application. We’re a supportive community that values collaboration, so showing us who you are can really make you stand out from the crowd.
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 in our team!
How to prepare for a job interview at Informa
✨Know Your Cloud Stuff
Make sure you brush up on your AWS and Azure knowledge. Be ready to discuss specific projects where you've designed or managed cloud infrastructure, especially for AI workloads. Highlight your experience with Infrastructure-as-Code tools like Terraform or CloudFormation.
✨Showcase Your Automation Skills
Prepare examples of how you've automated deployment paths in previous roles. Discuss the tools and processes you used, and be ready to explain how these improvements enhanced efficiency and reliability in your work.
✨Understand Machine Learning Environments
Since the role focuses on AI workloads, it’s crucial to demonstrate your understanding of machine learning environments. Be prepared to talk about how you've integrated DevOps practices with machine learning projects, and any challenges you faced along the way.
✨Emphasise Collaboration
This company values a supportive community, so highlight your teamwork skills. Share experiences where you collaborated with cross-functional teams to enhance production-ready AI services, and how you contributed to a positive team dynamic.
