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- Tasks: Design and operate cloud platforms for AI-driven services using Terraform.
- Company: Leighton, a forward-thinking tech company in Greater London.
- Benefits: Competitive salary, pension scheme, healthcare, and flexible working hours.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Join a hands-on role and shape the future of AI technology.
- Qualifications: Strong AWS experience and familiarity with container technologies like ECS.
The predicted salary is between 70000 - 90000 £ per year.
Leighton is seeking a Senior Cloud Platform Engineer in Greater London to design and operate cloud platforms for AI-driven services. This hands-on role involves establishing architecture standards, building infrastructure with Terraform, and ensuring platform reliability.
The ideal candidate has strong AWS experience and is familiar with container technologies like ECS.
Benefits include:
- Competitive salary
- Pension scheme
- Healthcare
- Flexible working hours
Senior AI Cloud Platform Engineer | Flexible Hours in London employer: Leighton
Contact Detail:
Leighton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Cloud Platform Engineer | Flexible Hours 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 showcasing your projects, especially those involving AWS and Terraform. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your cloud architecture knowledge and container technologies. Practice common interview questions and even consider mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior AI Cloud Platform Engineer | Flexible Hours in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and container technologies like ECS. 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-driven services and how your hands-on experience can contribute to our cloud platforms. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in cloud architecture or infrastructure reliability. We love seeing candidates who can think critically and innovate solutions!
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 get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at Leighton
✨Know Your Cloud Stuff
Make sure you brush up on your AWS knowledge and container technologies like ECS. Be ready to discuss specific projects where you've designed or operated cloud platforms, as this will show your hands-on experience.
✨Showcase Your Terraform Skills
Since building infrastructure with Terraform is key for this role, prepare to talk about how you've used it in past projects. Bring examples of how you've established architecture standards and the impact it had on platform reliability.
✨Be Ready for Technical Questions
Expect some technical questions that dive deep into cloud architecture and reliability. Practise explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively.
✨Highlight Flexibility and Teamwork
With flexible working hours being a perk, emphasise your adaptability and how you work well in a team. Share experiences where you've collaborated with others to solve problems or improve processes in cloud environments.