Mid-Senior Platform Engineer - AI Infrastructure

About the Role

We're looking for a Mid-Senior Platform Engineer to join our growing team at Magentic. This is an exciting opportunity to work on building, scaling, and owning the infrastructure that powers our AI procurement solution. As a Platform Engineer, you will play a crucial role in shaping the future of our product and ensuring that our infrastructure is top-notch. This position is not just about maintaining systems; it's about building a best-in-class infrastructure from the ground up. If you're ready to take on this challenge, we want to hear from you!

What You'll Do

• Manage all infrastructure as Infrastructure as Code (IaC), eliminating ClickOps.
• Shape a multi-tenant, multi-cloud platform that follows IaC and GitOps best practices, balancing speed, cost, and security.
• Collaborate with the development team to design secure software delivery processes using GitHub workflows and AI agent tooling.
• Ensure high observability of our systems, both AI and non-AI.
• Champion security, compliance, and automation to turn them into advantages rather than friction points.

Requirements

• Deep mastery of cloud platforms like Azure and/or AWS.
• Strong experience with containers and orchestration tools.
• Enthusiastic about AI, with a background in agent-assisted development.
• Experience managing production Kubernetes clusters.
• Ability to monitor, debug, and diagnose performance issues in production environments.
• Excellent communication skills with both technical and non-technical stakeholders.

Nice to Have

• Experience designing self-hosted, cloud-agnostic AI/ML infrastructure.
• Background in B2B infrastructure/platform settings.

What We Offer

• Competitive salary of £110,000-£120,000.
• Visa sponsorship available for this role.
• Enhanced parental leave and 25 days of holiday plus bank holidays.
• In-office lunches and salary sacrifice pension and nursery schemes.
• Hybrid working model with 3-4 days in the office.
• Annual team retreat to recharge and bond with the team.

Our Interview Process

We have a structured interview process that includes an initial call, a take-home task, an in-person interview, and a final interview with our CEO. We aim to move quickly through these stages to ensure a smooth experience for all candidates.

Responsible AI Statement

At Magentic, we are committed to developing AI that benefits humanity. We focus on responsible and safe deployment, ensuring that our AI development is centered around human needs and safety.

Equal Opportunities and Accommodations Statement

Magentic is an equal-opportunity employer, committed to creating a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds and cultures.