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- Tasks: Architect and maintain cloud-native infrastructure for high-performance AI systems.
- Company: Leading recruitment firm in London with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge AI technology.
- Qualifications: Experience with Google Cloud Platform and CI/CD tools required.
- Other info: Enjoy a collaborative environment with flexible working arrangements.
The predicted salary is between 60000 - 80000 £ per year.
A leading recruitment firm in London seeks a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure supporting high-performance AI systems. The ideal candidate will excel in Google Cloud Platform services and CI/CD tools, ensuring robust deployment workflows in a collaborative, hybrid work environment.
This is a full-time role, requiring 2 days in office and 3 from home, offering a competitive salary in the range of £60,000 - £80,000 depending on experience.
Hybrid GCP AI Infrastructure DevOps Engineer in London employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid GCP AI Infrastructure DevOps Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GCP projects and CI/CD workflows. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common DevOps questions and be ready to discuss your experience with cloud-native infrastructure. Practice makes perfect, so consider mock interviews with friends or mentors.
✨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 recruiters who are looking for talent like yours.
We think you need these skills to ace Hybrid GCP AI Infrastructure DevOps Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform and CI/CD tools. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our team. Keep it concise but impactful!
Showcase Your Collaboration Skills: Since this role involves working in a hybrid environment, let us know about your experience collaborating with teams both in-person and remotely. We value teamwork, so share examples of how you’ve thrived in such settings.
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!
How to prepare for a job interview at Experis - ManpowerGroup
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Familiarise yourself with the specific services relevant to AI infrastructure, like BigQuery and TensorFlow. Being able to discuss how you've used these tools in past projects will really impress the interviewers.
✨Showcase Your CI/CD Skills
Prepare to talk about your experience with CI/CD tools. Be ready to explain how you've implemented deployment workflows in previous roles. If you can share specific examples of how you've improved efficiency or reduced downtime, that’ll definitely set you apart.
✨Emphasise Collaboration
Since this role involves a hybrid work environment, highlight your ability to work well in teams, both in-person and remotely. Share examples of how you've successfully collaborated with colleagues across different locations to achieve project goals.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to AI infrastructure and their team dynamics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
