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For Companies At a Glance
- Tasks: Build scalable AI infrastructure and manage it as Infrastructure as Code.
- Company: Innovative tech company focused on AI solutions.
- Benefits: Competitive compensation, hybrid work model, and career growth opportunities.
- Why this job: Join a pioneering team and shape the future of AI procurement.
- Qualifications: Experience with cloud services like Azure/AWS and managing Kubernetes clusters.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A tech company is seeking an experienced Platform Engineer to join their team and help build the infrastructure for an innovative AI procurement solution. This role involves ensuring that all infrastructure is managed as Infrastructure as Code and shaping a multi-tenant, multi-cloud platform.
The ideal candidate will be skilled in cloud services, particularly Azure and/or AWS, and have strong experience in managing Kubernetes clusters.
Enjoy competitive compensation and a hybrid work model from their London HQ.
Founding Platform Engineer - Build Scalable AI Infra employer: Magentic
Contact Detail:
Magentic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Platform Engineer - Build Scalable AI Infra
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project that showcases your expertise in cloud services or Kubernetes, make sure to highlight it during interviews. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Infrastructure as Code knowledge. We recommend practicing common scenarios and problems you might face in the role. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Founding Platform Engineer - Build Scalable AI Infra
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with cloud services like Azure and AWS in your application. We want to see how you've managed Kubernetes clusters and any cool projects you've worked on that relate to building scalable infrastructure.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Founding Platform Engineer role. We love seeing candidates who take the extra step to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Magentic
✨Know Your Cloud Services
Make sure you brush up on your knowledge of Azure and AWS. Be ready to discuss specific projects where you've used these services, as well as any challenges you faced and how you overcame them.
✨Showcase Your Kubernetes Expertise
Prepare to talk about your experience managing Kubernetes clusters. Have examples ready that demonstrate your ability to troubleshoot issues and optimise performance in a multi-tenant environment.
✨Emphasise Infrastructure as Code
Since the role involves managing infrastructure as code, be prepared to discuss your experience with tools like Terraform or Ansible. Highlight any projects where you've successfully implemented these practices.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI procurement solution and their vision for the platform. This shows your genuine interest and helps you assess if it's the right fit for you.
