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Founding Platform Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Magentic
Full Time position
Listed on 2026-01-24
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 120000 GBP Yearly GBP 110000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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 join early enough 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 - that’s a $3tn market opportunity.

If that’s not exciting enough - we’re backed by world-class investors including Sequoia Capital, and you’d 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’ll Do
  • Ensure all our infrastructure is managed as IaC, no Click Ops!
  • Shape a multi-tenant, multi-cloud platform (we deploy were our customers are) following IaC and Git Ops best practices, while balancing speed, cost and security.
  • Work with the development team to design processes for secure software delivery (Git Hub 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 Kubernetes clusters and know kubectl like the palm of your hand
  • Have experience working with development teams to make their lives easier
  • Can monitor, debug and diagnose performance problems in production servers
  • Deliver quickly by differentiating good from perfect
  • 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 £110,000-£120,000
  • Visa sponsorship available for this role
  • Enhanced parental leave
  • 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown
  • 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 a 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 your how your experience aligns with the role.
  • Take home task (2-3 hours): we'll give you an exercise to demonstrate the key skills for the role.
  • a) 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.
  • b) 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,…

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