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- 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 were 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 BenefitsAt Magentic, we recognise and reward the talent that drives our success. We offer:
- Competitive Equity: play a real part in Magentic’s upside
- 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