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- Tasks: Design and operate AWS infrastructure, build ETL pipelines, and manage containerized services.
- Company: Early-stage AI startup in London with a focus on innovation.
- Benefits: Competitive salary and significant ownership of core infrastructure.
- Why this job: Join a fast-growing environment and make a real impact in AI technology.
- Qualifications: Strong AWS and Docker experience, plus Python proficiency required.
- Other info: Exciting opportunity for career growth in a dynamic startup.
The predicted salary is between 43200 - 72000 £ per year.
An early-stage AI startup in London is seeking a Software Engineer to design and operate its AWS infrastructure. The role involves building ETL pipelines, managing containerized services, and implementing CI/CD practices. Ideal candidates will have strong AWS and Docker experience, along with Python proficiency. This position offers significant ownership of core infrastructure and a competitive salary in a fast-growing environment.
AI Platform Engineer — Cloud‑Native Data & Infra (London) employer: Hyre AI Limited
Contact Detail:
Hyre AI Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer — Cloud‑Native Data & Infra (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud-native space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, ETL pipelines, and any containerized services you've built. We love seeing practical examples of what you can do!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Docker knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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’re always on the lookout for passionate candidates like you!
We think you need these skills to ace AI Platform Engineer — Cloud‑Native Data & Infra (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your AWS and Docker experience in your application. We want to see how you've used these tools in real projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to building ETL pipelines or managing containerized services, as it shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Hyre AI Limited
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss specific services you've used, how you've set up infrastructure, and any challenges you've faced. This will show that you're not just familiar with AWS, but that you can leverage it effectively in real-world scenarios.
✨Show Off Your Docker Skills
Since containerization is key for this role, be prepared to talk about your experience with Docker. Bring examples of projects where you've built or managed containerized services. If you can share how you’ve optimised performance or solved issues, that’ll definitely impress them!
✨Demonstrate Your Python Proficiency
Python is a must-have skill for this position, so make sure you can discuss your coding experience confidently. Consider preparing a small coding challenge or example project to showcase your skills. Being able to explain your thought process while coding will highlight your problem-solving abilities.
✨Emphasise CI/CD Practices
Continuous Integration and Continuous Deployment are crucial for modern software development. Be ready to explain how you've implemented CI/CD in past projects. Discuss the tools you’ve used and the impact it had on your workflow. This will demonstrate your understanding of efficient development practices.
