Cloud Engineer - AI

Context

250+ local authorities rely on Vizzia to keep their streets clean and safe, with the ambition to reach 500+ by the end of 2026. AI Waste is the product where computer vision turns city signals into action on the ground.

The AI team (15 people) is moving from 400 to 1000+ cameras in production, dividing AI processing cost by 5, and onboarding new models in parallel. None of that ships without a cloud infrastructure that scales, holds under load, and stays cheap to run.

The Infra Orchestration squad sits inside the AI team and owns the cloud, the orchestration layer, and the CI/CD that the AI engineers ship through every day.

We're hiring a Cloud Engineer reporting to Bruno, Head of AI, to design and run the cloud architecture, optimize AI pipelines, and ship the CI/CD that makes the AI team faster.

What You'll Do

1. Cloud architecture & infrastructure as code

• Design and maintain cloud architectures and IaC (CDK) for the AI Waste stack on AWS.

• Make new cloud resources reproducible and easy to deploy across environments.

2. AI pipeline orchestration

• Orchestrate and optimize the AI processing pipelines used by the AI team.

• Build orchestration and error-management components that hold under high data volumes.

3. CI/CD for AI engineers

• Develop and optimize the CI/CD pipelines used by the AI team (GitHub Actions).

• Promote DevOps and MLOps best practices, automate manual workflows.

4. Scalability, security, observability

• Keep the infrastructure scalable, secure, and observable as the camera fleet grows from 400 to 1000.

• Contribute to incident response and post-mortems in a cloud culture.

5. FinOps

• Track and optimize cloud cost; help divide AI processing cost by 5 over the year.

• Engineering degree (Bac+5) or equivalent in computer science.

• At least 3 years in DevOps or Cloud Engineering, with concrete production work on AWS.

• Comfortable with IaC (Terraform or CDK), CI/CD, and Docker.

• Working knowledge of one or more of the following languages Python, Go, Rust, TypeScript, or Bash.

• Hands-on, structured, and at ease in incident and post-mortem culture.

• Exp in top startup / scaleup