DevOps Engineer for Swiss AI Hosting Platform -- 2
Budget: $1,500 – $3,000 USD
We are launching a sovereign Swiss Agentic AI Hosting Platform (PaaS) on Exoscale SKS. The platform will run our internal digital workforce using multi-agent systems and host external Swiss/EU business customers in fully isolated tenants.
We need an experienced DevOps engineer to deliver exactly the Statement of Work (SoW) we have prepared.
Scope of Work (Fixed Price Preferred):
The selected freelancer must strictly follow and deliver 100% of the attached Statement of Work (SoW), which includes:
* Provision a production-ready Exoscale SKS cluster with GPU NodePools using Terraform
* Install and configure: NVIDIA GPU Operator, Qdrant, Dify, n8n, and Ollama (GPU-accelerated with persistent storage)
* Set up ArgoCD for full GitOps management of the entire platform
* Implement secure multi-tenancy using Kubernetes namespaces, NetworkPolicies, ResourceQuotas, and RBAC
* Create a clean Git repository with all Helm values, ArgoCD Applications, base components, and reusable tenant templates
* Deploy and test one internal tenant + one example customer tenant with a basic CrewAI/LangGraph + OpenClaw agent running on GPU
* Provide clear documentation and conduct a 1–2 hour handover session
Important Requirements:
* You must be comfortable working with Exoscale SKS, Terraform, Helm, ArgoCD/GitOps, and NVIDIA GPU Operator on Kubernetes.
* Previous experience with managed Kubernetes platforms (especially GPU workloads) is required.
* Strong understanding of multi-tenancy best practices and basic compliance isolation (DSG/GDPR + EU AI Act) is a plus.
* Ability to deliver clean, production-ready, declarative IaC and GitOps code.
Budget: CHF 7,500 – 10,500 (fixed price strongly preferred)
Timeline: 4–7 business days from project kick-off (we want to move fast)
How to Apply: Please include in your proposal:
1. Confirmation that you can deliver exactly the attached SoW
2. Your estimated timeline and final fixed price
3. Links to similar past projects (Kubernetes multi-tenancy, ArgoCD GitOps, GPU inference platforms)
4. Any questions about the SoW or technical requirements
We will provide the full SoW document, detailed architecture notes, previous Terraform/Helm snippets, and all required reference materials upon shortlisting.
Looking forward to your proposals!
We need an experienced DevOps engineer to deliver exactly the Statement of Work (SoW) we have prepared.
Scope of Work (Fixed Price Preferred):
The selected freelancer must strictly follow and deliver 100% of the attached Statement of Work (SoW), which includes:
* Provision a production-ready Exoscale SKS cluster with GPU NodePools using Terraform
* Install and configure: NVIDIA GPU Operator, Qdrant, Dify, n8n, and Ollama (GPU-accelerated with persistent storage)
* Set up ArgoCD for full GitOps management of the entire platform
* Implement secure multi-tenancy using Kubernetes namespaces, NetworkPolicies, ResourceQuotas, and RBAC
* Create a clean Git repository with all Helm values, ArgoCD Applications, base components, and reusable tenant templates
* Deploy and test one internal tenant + one example customer tenant with a basic CrewAI/LangGraph + OpenClaw agent running on GPU
* Provide clear documentation and conduct a 1–2 hour handover session
Important Requirements:
* You must be comfortable working with Exoscale SKS, Terraform, Helm, ArgoCD/GitOps, and NVIDIA GPU Operator on Kubernetes.
* Previous experience with managed Kubernetes platforms (especially GPU workloads) is required.
* Strong understanding of multi-tenancy best practices and basic compliance isolation (DSG/GDPR + EU AI Act) is a plus.
* Ability to deliver clean, production-ready, declarative IaC and GitOps code.
Budget: CHF 7,500 – 10,500 (fixed price strongly preferred)
Timeline: 4–7 business days from project kick-off (we want to move fast)
How to Apply: Please include in your proposal:
1. Confirmation that you can deliver exactly the attached SoW
2. Your estimated timeline and final fixed price
3. Links to similar past projects (Kubernetes multi-tenancy, ArgoCD GitOps, GPU inference platforms)
4. Any questions about the SoW or technical requirements
We will provide the full SoW document, detailed architecture notes, previous Terraform/Helm snippets, and all required reference materials upon shortlisting.
Looking forward to your proposals!
Related categories:
Business, Accounting, Human Resources & Legal
Linux
Amazon Web Services
Git
Kubernetes
DevOps
Terraform