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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 backed by top investors.
- Benefits: Competitive salary, equity options, hybrid work, and annual team retreats.
- Why this job: Be part of an ambitious journey to revolutionise global supply chains with AI.
- Qualifications: Experience in cloud platforms, containers, and a passion for AI development.
- Other info: Dynamic team with expertise from industry leaders like OpenAI and NASA.
The predicted salary is between 120000 - 140000 £ per year.
Overview
We are 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 are 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 join early enough to help build a high-quality rocket ship, rather than rebuild it in flight.
We are 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 - that’s a $3tn market opportunity.
If that’s not exciting enough - we are backed by world-class investors including Sequoia Capital, and you would be working along a super talented team which brings together expertise from OpenAI, Meta, Revolut, NASA and McKinsey (and that’s just the first 11 people!).
What You Will 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
- Experience designing self-hosted, cloud agnostic, AI/ML infrastructure.
- Infrastructure/platform experience in B2B settings, e.g.: Identity Federation.
Compensation and Benefits
At Magentic, we recognise and reward the talent that drives our success. We offer:
- Competitive Equity: play a real part in Magentic's upside
- A salary of £120,000-£140,000
- Visa sponsorship
- 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
Our Interview Process
There are quite a few components because it’s really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet.
- Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role.
- Design interview with the CTO or Founding Engineer (45-60 mins): in this step, we present you with real problems Magentic encounters, and we ask you to design a solution in a whiteboarding exercise.
- Take home task (2-3 hours): we’ll give you an exercise to demonstrate the key skills for the role.
- In-person interview: for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, some live coding work and a discussion of your work with the team.
- CEO interview (30 mins): a chance for you to meet Robin, hear about his vision for the company - this may happen at the in-person, dependent on scheduling constraints.
Responsible AI Statement
At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.
Equal Opportunities and Accommodations Statement
Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010.
We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs.
Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.
Founding Senior Platform Engineer in London employer: Magentic
Contact Detail:
Magentic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Senior Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Magentic or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the design interview by brushing up on your problem-solving skills. Think about how you'd tackle real-world issues they might face. Practising whiteboarding solutions can really help you shine!
✨Tip Number 3
Showcase your passion for AI and cloud technologies during interviews. Share your personal projects or experiences that highlight your skills. This will help us see your enthusiasm and fit for the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Founding Senior Platform Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how you can leverage your skills in AI and cloud technologies to help us build something amazing at Magentic.
Tailor Your Experience: Make sure to highlight your relevant experience with cloud platforms like Azure or AWS. We’re looking for someone who can hit the ground running, so showcase any projects where you've built or managed production clusters.
Be Clear and Concise: We appreciate clarity! When describing your past roles and achievements, keep it straightforward. Use bullet points if it helps make your experience easier to digest – we want to understand your journey quickly.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team early on.
How to prepare for a job interview at Magentic
✨Know Your Tech Inside Out
Make sure you brush up on your cloud mastery, especially with Azure and AWS. Be ready to discuss your experience with containers and orchestration, as well as how you've managed production clusters at scale. This role is all about building a robust infrastructure, so show them you know your stuff!
✨Prepare for Real-World Problems
During the design interview, you'll face real problems that Magentic encounters. Practice sketching out architectures for loosely defined problems and be prepared to explain your thought process. They want to see how you approach challenges, so think out loud and demonstrate your problem-solving skills.
✨Showcase Your Collaboration Skills
This role involves working closely with development teams, so highlight any past experiences where you've made their lives easier. Be ready to discuss how you've designed processes for secure software delivery and championed security and compliance. Communication is key, so make sure you can articulate your ideas clearly to both engineers and business stakeholders.
✨Get to Know Magentic's Vision
Before your interview, take some time to understand Magentic's mission and product vision. Familiarise yourself with their AI procurement solution and the market opportunity they are tackling. Showing genuine interest in their goals will not only impress them but also help you align your answers with their values during the interview.
