At a Glance
- Tasks: Design, build, and maintain cloud platforms on Google Cloud.
- Company: Lawrence Harvey, a leader in Data & AI solutions.
- Benefits: Hybrid work model, competitive salary, and career growth opportunities.
- Other info: Be part of a significant investment in cutting-edge AI solutions.
- Why this job: Join a team shaping the future of AI technology.
- Qualifications: 3+ years experience in cloud platforms, CI/CD, Docker, and Kubernetes.
The predicted salary is between 55000 - 65000 £ per year.
Lawrence Harvey is hiring Platform Engineers in Manchester for their Data & AI practice. This role involves designing, building, and maintaining cloud-based platforms, specifically on Google Cloud.
Candidates should have a minimum of 3 years of experience, strong skills in CI/CD pipeline design, and familiarity with Docker and Kubernetes.
Join a team impacting cutting-edge AI solutions, part of a significant investment in AI technology.
Platform Engineer: AI & Cloud Data on GCP (Hybrid) in Manchester employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer: AI & Cloud Data on GCP (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at Lawrence Harvey or connect with others in the Data & AI field. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects related to cloud platforms, CI/CD pipelines, Docker, and Kubernetes. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of Google Cloud and relevant technologies. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to highlight our experience in AI and cloud data, making us the perfect fit for the role.
We think you need these skills to ace Platform Engineer: AI & Cloud Data on GCP (Hybrid) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud platforms, especially Google Cloud. We want to see your skills in CI/CD pipeline design and any work you've done with Docker and Kubernetes.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and cloud technology, and how your background makes you a perfect fit for our team. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any cool projects related to AI or cloud data, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 Data & AI practice.
How to prepare for a job interview at Lawrence Harvey
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Familiarise yourself with its services, especially those related to AI and data management. Being able to discuss specific projects or features you've worked on will show your expertise.
✨Showcase Your CI/CD Skills
Prepare to talk about your experience with CI/CD pipeline design. Have examples ready that demonstrate how you've implemented these processes in past roles. This will highlight your practical skills and understanding of efficient software delivery.
✨Docker and Kubernetes Know-How
Since this role requires familiarity with Docker and Kubernetes, be ready to discuss how you've used these tools in your previous projects. Share any challenges you faced and how you overcame them, as this shows problem-solving skills.
✨Passion for AI Solutions
Express your enthusiasm for AI technology and its applications. Research the latest trends in AI and be prepared to share your thoughts on how cloud platforms can enhance AI solutions. This will demonstrate your genuine interest in the field.