We are seeking a highly skilled Kubernetes and Proxmox professional to assist in setting up a comprehensive SaaS solution and full infrastructure. The ideal candidate will have extensive experience in deploying and managing Kubernetes clusters and utilizing Proxmox for virtualization solutions. Your expertise will be crucial in ensuring optimal performance, scalability, and security of the infrastructure. If you have a proven track record of successful deployments and a passion for cloud technologies, we would love to hear from you. Core System Architecture (What needs to be built) Backend & Database (Supabase or equivalent) Authentication system (multi-tenant, role-based) PostgreSQL database structure Realtime capabilities File storage system (for user assets, websites, media) API layer (REST or GraphQL) Secure user isolation (important for SaaS) AI Website Builder System Input: user prompt (e.g. “real estate agency website”) AI generates: Sitemap (editable before generation) Full pages (HTML/CSS or builder-compatible) Integration with: LLMs (local or API-based) Template system (modular) Ability to regenerate/edit sections dynamically Multi-Tenant SaaS System Each user gets: Own project(s) Website(s) Data isolation Admin dashboard: Manage users Manage subscriptions Monitor usage Billing-ready structure (Stripe-ready, no need full implementation yet) Hosting Infrastructure Deployment of user websites Domain/subdomain system: example.webigo.ai custom domains later Reverse proxy setup Scalable hosting system Kubernetes Setup (Phase 2 / Advanced) Containerized services: Backend AI services Builder engine Auto-scaling system Load balancing Service orchestration Deployment on Proxmox cluster AI Agents System (Advanced / Optional but preferred) Integration with agent frameworks (OpenClaw or similar) Manager agent: Assigns tasks Monitors progress Worker agents: Code generation Automation tasks Dashboard showing agent activity (mission control style) Frontend Dashboard Clean SaaS UI Features: Project dashboard Website editor access AI builder interface Settings & billing Real-time updates (optional) Security & Performance User data isolation (critical) API security (rate limiting, auth) Scalable architecture Clean, maintainable code Technical Stack (Preferred) Backend: Node.js / Python Database: PostgreSQL (Supabase preferred) Frontend: React / Next.js Infrastructure: Docker Kubernetes (later stage) Proxmox (deployment target) AI: OpenAI / local LLM (Ollama etc.) Reverse proxy: Nginx / Traefik What MUST Work (Acceptance Criteria) Users can: Sign up / log in Create a project Generate a website via AI View/edit generated pages Websites: Deploy automatically Accessible via URL Backend: Stable and scalable System: Clean architecture (no spaghetti code) What We Care About Clean architecture over quick hacks Scalability (this is not a prototype only) Communication and understanding of SaaS systems Ability to think, not just code Nice to Have (Bonus Skills) Experience with AI agents / automation systems Experience with SaaS builders (Shopify, Webflow, GHL-like systems) DevOps experience (Kubernetes, scaling infrastructure) Project Scope Phase 1: MVP (fast, clean, functional) Phase 2: Scaling and Kubernetes Phase 3: Advanced AI and automation Budget Flexible depending on experience and scope Important Please do NOT apply if: You have no SaaS experience You have never worked with scalable systems You cannot explain your architecture decisions To Apply Send: Relevant past projects Your proposed tech stack How you would approach this project (brief)