Platform Engineer — Scalable AI Systems & Cloud Infra

Platform Engineer — Scalable AI Systems & Cloud Infra

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and develop scalable AI platforms and cloud infrastructure.
  • Company: Scale AI, a leader in AI-powered software solutions.
  • Benefits: Competitive salary, flexible work options, and growth opportunities.
  • Other info: Collaborative environment with a focus on innovation and reliability.
  • Why this job: Join a cutting-edge team and shape the future of AI technology.
  • Qualifications: Experience with RAG, Kubernetes, and CI/CD is a plus.

The predicted salary is between 63000 - 77000 £ per year.

Scale AI, Inc. is building the foundation of AI-powered software by providing data and platforms for leading models.

We are seeking a Platform Engineer to design and develop shared data platforms, cloud infrastructure, and deployment tooling across Scale.

You will collaborate across teams, drive feature delivery in an iterative workflow, and push for scalable, reliable systems hosted on public cloud.

Experience with RAG, Kubernetes, and CI/CD is highly valued.

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Platform Engineer — Scalable AI Systems & Cloud Infra employer: Scale AI, Inc.

At Scale AI, Inc., we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As the Head of Enterprise AI Design, you will not only lead a talented team but also have access to exceptional growth opportunities in a cutting-edge field. Our commitment to collaboration and user-centric design ensures that your contributions will have a meaningful impact on the future of AI-enabled workflows.

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Contact Details:

Scale AI, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Platform Engineer — Scalable AI Systems & Cloud Infra

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Scale AI, Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Scale AI, Inc..

Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Platform Engineer — Scalable AI Systems & Cloud Infra

Platform Engineering
Cloud Infrastructure
Data Platform Design
Deployment Tooling
Kubernetes
CI/CD
Scalability

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Scale AI, Inc..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Scale AI, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Scale AI, Inc.

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Scale AI, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.