We're looking for a System Architect to own the technical foundation end to end.What you'll doOwn the architecture - a scalable, cloud-native system from whiteboard to production on a greenfield Azure environment you'll stand up yourself (Kubernetes-native, Everything-as-Code, GitOps, CI/CD from day one).Work directly with our Chief AI Officer to translate complex decisioning methodologies into clean,self-service products a customer can run without a data-science team.Lead the coding. Set the standards, make the hard calls, and write the core code yourself. You'll guide the engineers shoulder-to-shoulder - leadership by example, not by org chart, without managing them directly.Stand up a fully agentic SDLC - building the product withAI coding agents end to end, so a small team ships like a large one.Design the integration layer so the product plugs into each host's native agent and data surfaces - customers adopt it without leaving the tools they already use.Requirements: 10+ years in software engineering with vast, hands-on production experience - you've architected, shipped, and run large-scale cloud-native systems.
That real-world scar tissue is what moves us fast in the right direction.Hands-on and current - you architect and code.
Python (Go/Bash a plus).Kubernetes-native by instinct, with real Everything-as-Code discipline: IaC (Terraform, Helm), GitOps (ArgoCD), a CI-gated SDLC, and production-first habits (SLOs, observability, blameless postmortems).Fluent driving real work through AI coding agents.Ready to make Azure home (core runs on GCP, so cross-cloud fluency is a real plus).A builder who thrives on ambiguity, ownership, and a flat team.This position is open to all candidates.
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