AI Infrastructure Engineer
CHF 128K-192K (estimate) Senior-level Full Time
Tasks
- Automate platform provisioning with Infrastructure as Code
- Build and operate agentgateway routing layer
- Define SLOs and instrument platform for performance and availability
- Design deploy and operate distributed LLM inference on Kubernetes
- Enforce traffic policy rate limiting cost controls audit logging
- Implement content safety prompt injection defense agent workflow audit controls
- Lead incident response for AI platform and control plane critical path
- Maintain architecture documentation and operational runbooks
- Operate Kubernetes control plane with HA sizing and surge upgrades
- Operate and harden AI user facing surface
Perks/Benefits
Skills/Tech-stack
Agentgateway | Ansible | Apache Kafka | C++ | Cloud Native | Cloud-native Security | Cluster management | Container Runtime | Control Plane | Distributed Systems | Etcd | Go | Incident Response | Infrastructure as Code | Java | JupyterHub | KServe | Kubernetes | Kubernetes control plane | LLM Inference | Multi-Cluster | Multi-Cluster Management | NVIDIA Triton | Networking | Observability | Open WebUI | Python | Ray Serve | Rust | SLO | Terraform | VLLM | “as-code”
Education
N/A
Roles
AI | AI Infrastructure Engineer | Engineer | Infrastructure Engineer | Platform | Platform Engineer
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