This is a hands-on build role. You will own the AWS infrastructure underpinning Toqan — not as an oversight function, but as the engineer who designs, builds, and ships the platform components that make ecosystem-scale AI possible.

Concretely, you will build:

• You will define the infrastructure standards and guardrails that keep the whole AI Platform team building consistently and safely as the footprint grows. This is infra as a service — your work enables everyone else to contribute.

• A model routing layer — directing requests intelligently across multiple LLM providers

• API gateways — production-grade, low-latency, and built to serve several OpCos

• Kubernetes infrastructure — designed and provisioned from the ground up

The measure of success is concrete: infrastructure scaled to support every major Prosus OpCo without reliability incidents, cost-per-request reduced through deliberate architectural choices, and infra standards adopted team-wide within six months.

Amsterdam is home base. You will work alongside a team of 15 engineers who move fast
and think at group scale.

You write the code and build the infrastructure — not one or the other. When a product team says "we need this to work across 10 companies," you are already mapping the architecture: where the shared patterns live, where the edge cases break, and what guardrails will keep things coherent as the footprint grows.

You default to MVPs over perfect solutions. You are comfortable making architectural calls with 60 to 80 percent of the information, then iterating quickly when the evidence shifts. You have worked in fast-moving environments and know that shipping a working system beats designing an ideal one.

You hold strong opinions on quality but stay low-ego about how you get there. Security is not an afterthought — it is designed in from the start, especially when you are building sandboxes and execution environments.