Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and scale the infrastructure for our cutting-edge AI procurement solution.
- Company: Join Magentic, a pioneering tech company with an ambitious vision.
- Benefits: Competitive equity, in-office lunches, hybrid work, and annual team retreats.
- Why this job: Be part of a revolutionary project that transforms global supply chains.
- Qualifications: Experience with cloud platforms, containers, and a passion for AI.
- Other info: Dynamic team environment with opportunities for rapid career growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We’re looking for the second member of our Platform Engineering team to build, scale and own the infrastructure that powers Magentic’s AI procurement solution. We have a very ambitious product vision, but we’re early in our building journey and are looking for an experienced Platform Engineer to build a best‑in‑class infrastructure from the ground up. This is a rare opportunity to help build a high‑quality rocket ship rather than rebuild it in flight.
We’re pushing the boundaries of AI with next‑generation agentic systems that can manage entire procurement workflows. Our mission is to make global manufacturing supply chains robust to an ever‑changing world – a $3tn market opportunity.
What You’ll Do
- Design, build and own the cloud‑native backbone that powers our AI agent workers at scale.
- Shape a multi‑tenant, multi‑cloud platform (we deploy where our customers are) following IaC and GitOps best practices while balancing speed, cost and security.
- Work with the development team to design processes for secure software delivery (GitHub workflows, AI agent tooling for reviews, security and compliance).
- Make our systems, both AI and non‑AI, highly observable.
- Champion security, compliance and automation to turn them into an advantage instead of friction.
You Might Be a Great Fit if You
- Have deep cloud mastery of Azure and/or AWS.
- Strong experience with containers and orchestration.
- Are an enthusiastic student/hobbyist of AI able to leverage agent‑assisted development.
- Have managed production clusters at scale with IaC in security‑certified companies.
- Have experience working with development teams to make their lives easier.
- Can take a loosely defined problem, sketch an architecture, and deliver a production‑ready solution in days or weeks, not months.
- Have the experience to know what is needed now and what can come later.
- Can communicate clearly with both engineers and business stakeholders.
Bonus Points
- Infrastructure/platform experience in B2B settings, e.g.: Identity Federation.
Compensation and Benefits
- Competitive Equity: play a real part in Magentic’s upside.
- In‑office lunches provided.
- Salary sacrifice pension and nursery schemes.
- Hybrid London HQ (3‑4 days in the office/customer site).
- Annual team retreat —a fully‑funded off‑site to recharge, bond, and build.
Location: London, United Kingdom.
Platform Engineer in London employer: Magentic
Contact Detail:
Magentic 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 current employees at Magentic on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your cloud-native projects, make sure to highlight them during interviews. We love seeing real-world applications of your expertise.
✨Tip Number 3
Prepare for technical challenges! Brush up on your IaC and GitOps knowledge, as well as your experience with Azure or AWS. We want to see how you tackle problems and design solutions on the spot.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Platform Engineer. Highlight your cloud mastery, experience with containers, and any relevant projects that showcase your skills in building scalable infrastructure.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of how you've tackled loosely defined problems and delivered solutions quickly.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! If you’ve worked with IaC or GitOps, mention specific tools and frameworks you’ve used. We want to see how you can contribute to our ambitious product vision.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Magentic
✨Know Your Cloud Inside Out
Make sure you brush up on your knowledge of Azure and AWS. Be ready to discuss specific projects where you've used these platforms, focusing on how you designed and built cloud-native solutions. This will show that you can hit the ground running.
✨Showcase Your Container Skills
Prepare to talk about your experience with containers and orchestration. Bring examples of how you've managed production clusters at scale, and be ready to explain the challenges you faced and how you overcame them. This will demonstrate your hands-on expertise.
✨Communicate Like a Pro
Since you'll need to liaise with both engineers and business stakeholders, practice explaining complex technical concepts in simple terms. Think of scenarios where you've had to bridge the gap between tech and business, and be ready to share those stories.
✨Emphasise Security and Compliance
Security is key in this role, so be prepared to discuss how you've championed security and compliance in past projects. Highlight any specific frameworks or best practices you've implemented, and how they turned potential friction into an advantage.
