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For Companies At a Glance
- Tasks: Build and scale cloud-native infrastructure for AI procurement agents.
- Company: Join Magentic.com, a Sequoia-backed startup revolutionising the global supply chain.
- Benefits: Competitive salary, equity, hybrid work, and fully-funded global retreats.
- Why this job: Shape the future of a $3 trillion market with an elite team from OpenAI and NASA.
- Qualifications: Expertise in Azure or AWS, IaC, and container orchestration required.
- Other info: High-impact role with opportunities for career growth and innovation.
The predicted salary is between 100000 - 115000 £ per year.
Company Description
Magentic.com - Sequoia-backed startup building AI procurement agents.
Job Description
You will build, scale, and own the cloud-native infrastructure powering Magentic’s AI procurement workers. This role offers the rare chance to architect high‑quality foundations from the ground up for a global supply chain solution. You’ll influence the technical direction of a next‑generation agentic system while ensuring high observability and security.
Location: London, UK
Why this role is remarkable
- Join an elite team of experts from OpenAI, Meta, and NASA building the future of the $3 trillion global supply chain market.
- Benefit from world‑class backing by Sequoia Capital and the opportunity to shape architectural direction earlier than at typical startups.
- Experience a high‑impact environment with competitive equity, hybrid flexibility in London, and fully‑funded annual global team retreats.
What you will do
- Design and own the multi‑tenant, cloud‑native backbone on Azure and AWS to support AI agent workers at scale.
- Implement IaC and GitOps best practices to streamline secure software delivery and automated GitHub workflows.
- Champion system observability and security compliance to turn infrastructure into a competitive commercial advantage for the company.
The ideal candidate
- Deep mastery of Azure or AWS with significant experience managing production clusters using Infrastructure as Code (IaC).
- Strong background in container orchestration and a proven ability to deliver production‑ready solutions for security‑certified companies.
- An AI‑forward mindset with the ability to leverage agent‑assisted development and communicate complex technical trade‑offs to stakeholders.
Next steps
- Visit our website.
- Click 'Talk to Jack'.
- Talk to Jack so he can understand your experience and ambitions.
- Jack will make sure Jill (the AI agent working for the company) considers you for this role.
- If Jill thinks you’re a great fit and her client wants to meet you, they will make the introduction.
- If not, Jack will find you excellent alternatives. All for free.
Platform Engineer (£105,000-£115,000 + Equity) at Magentic.com employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer (£105,000-£115,000 + Equity) at Magentic.com
✨Tip Number 1
Get to know the company inside out! Research Magentic.com, their mission, and the tech stack they use. This will help you tailor your conversation with Jack and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Prepare to discuss your experience with Azure or AWS in detail. Be ready to share specific examples of how you've managed production clusters and implemented IaC. This will demonstrate your expertise and make you stand out.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. Since you'll need to communicate with stakeholders, being able to break down your work will show that you can bridge the gap between tech and business.
✨Tip Number 4
Don't forget to leverage our website! Following the steps to talk to Jack is crucial. He’s there to help you navigate the process and find the best fit for your skills and ambitions, so make the most of it!
We think you need these skills to ace Platform Engineer (£105,000-£115,000 + Equity) at Magentic.com
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and cloud-native infrastructure shine through. We want to see how your experience aligns with our mission at Magentic.com and how you can contribute to building the future of procurement.
Highlight Relevant Experience: Make sure to showcase your deep mastery of Azure or AWS and any hands-on experience with Infrastructure as Code (IaC). We’re looking for candidates who can demonstrate their ability to manage production clusters and deliver secure solutions, so don’t hold back!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Remember, we’re busy building something amazing, so make it easy for us to see why you’re a great fit!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets into the right hands. Plus, you’ll get to chat with Jack, who’s eager to hear about your experience and ambitions!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure and AWS, as these are crucial for the role. Brush up on your Infrastructure as Code (IaC) knowledge and be ready to discuss how you've implemented it in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in cloud-native infrastructure. Highlight your experience with container orchestration and how you’ve ensured security compliance in production environments.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to demonstrate your ability to communicate trade-offs to stakeholders, so think about how you can make your points clear and relatable.
✨Demonstrate Your AI Mindset
Since this role is focused on AI procurement agents, be ready to discuss your thoughts on AI in infrastructure. Share any relevant experiences or ideas on how AI can enhance system observability and security.
