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- Tasks: Design and build cloud-native infrastructure for cutting-edge AI systems.
- Company: Fast-growing AI startup backed by top-tier investors.
- Benefits: Competitive salary up to £120,000 and opportunities for growth.
- Why this job: Join a dynamic team and make a real impact in AI technology.
- Qualifications: Experience in cloud infrastructure, Kubernetes, and CI/CD pipelines.
- Other info: Enjoy autonomy and ownership while solving complex engineering challenges.
The predicted salary is between 72000 - 84000 £ per year.
I'm partnered with a fast-growing AI research and engineering startup building advanced agentic AI systems that automate and accelerate complex software engineering workflows. The platform sits at the intersection of AI research and real-world production systems. Backed by $2.5M in seed funding from top-tier investors, they are expanding their core engineering team and are looking for a Platform Engineer to help design, build, and operate the systems that power their products at scale.
What you’ll work on:
- Designing and building cloud-native infrastructure to support highly reliable, secure, and scalable AI systems
- Operating and improving Kubernetes-based platforms, deployment pipelines, and internal tooling
- Building abstractions and automation to support rapid experimentation and production deployments
- Owning reliability, observability, security, and performance across our infrastructure stack
What we’re looking for:
- Strong experience in cloud infrastructure, platform engineering, or DevOps roles
- Hands-on experience with Kubernetes, containerisation, and modern CI/CD pipelines
- Solid understanding of cloud providers (AWS/GCP/Azure) and infrastructure best practices
- Experience building or operating production-grade systems with high reliability requirements
- A pragmatic engineer who enjoys ownership, autonomy, and solving hard systems problems
Interested? Apply below!
Platform Engineer in London employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer 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 or GitHub repository showcasing your projects, especially those related to cloud infrastructure and Kubernetes. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of CI/CD pipelines and cloud providers. Practice common interview questions and even do mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with platform engineering and cloud-native infrastructure.
We think you need these skills to ace Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Platform Engineer role. Highlight your experience with cloud infrastructure, Kubernetes, and any relevant projects that showcase your skills. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and platform engineering. Share specific examples of your work that align with what we do at StudySmarter, and let your personality come through.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. We love pragmatic engineers who can tackle tough challenges, so share those stories that demonstrate your approach to problem-solving.
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Few&Far
✨Know Your Cloud Inside Out
Make sure you brush up on your knowledge of cloud infrastructure, especially AWS, GCP, and Azure. Be ready to discuss specific projects where you've designed or operated cloud-native systems, as this will show your hands-on experience.
✨Kubernetes is Key
Since the role involves operating Kubernetes-based platforms, be prepared to dive deep into your experience with Kubernetes. Think of examples where you've improved deployment pipelines or automated processes, and be ready to explain your thought process.
✨Showcase Your Problem-Solving Skills
This company values pragmatic engineers who enjoy tackling tough problems. Prepare to discuss challenges you've faced in previous roles and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Emphasise Ownership and Autonomy
The ideal candidate enjoys ownership and autonomy, so highlight instances where you've taken charge of projects or initiatives. Share how you ensured reliability, observability, and security in your past work, as this aligns perfectly with what they're looking for.
