Platform Engineer

Cager is redefining how organisations deploy AI agents. Our zero-ops platform runs each agent in an isolated environment, fully separated from core business systems, while anomaly detection identifies model misbehaviour before it causes harm. Available as SaaS or on-premises, Cager enables organisations to adopt AI agents safely and with confidence.

We aim for 10x, not 10%. Every role contributes to a future where prevention is the norm and the internet is safer for everyone.

Build the foundation every agent runs on: isolated microVMs on Kubernetes and Talos Linux, designed for zero-ops operation in the cloud and on-premises.

• A hardened, fully automated microVM isolation layer.
• Repeatable and predictable on-premises installation and upgrade processes.
• Platform-wide observability across all agent environments.

• Strong experience with Kubernetes and Linux systems.
• Infrastructure as code and CI/CD in production environments.
• Production experience in Go, Rust or Python.
• Solid understanding of virtualisation, containers and workload isolation.

• Experience with Talos Linux, Firecracker or comparable microVM technologies.
• Experience with on-premises or air-gapped deployments.
• Clear communication, with the ability to explain trade-offs to clients, engineers and management alike.
• Fluency with modern AI tooling to increase productivity and quality.

• Client first. Every decision starts with the needs of the people we serve.
• 10x, not 10%. We pursue step changes, not incremental gains.
• Technology-enabled, human-centred. We build advanced systems for real people.
• Ownership. We deliver production-quality work, using AI tools to move faster while keeping judgement and accountability our own.
• Shared knowledge. We mentor, review each other's work and foster a culture of openness and continuous improvement.

Compensation will be confirmed following our initial funding round.