AI-Powered Self-Healing DevOps Platform ( Cursor for DevOps )

I’m looking for a seasoned DevOps professional (or a tight-knit team) to architect and build an end-to-end platform that marries AI with modern DevOps. The goal is straightforward yet ambitious: automate the entire software-delivery chain, predict capacity and failure points before they bite, and let the system heal itself while keeping cost, compliance, and security firmly under control. Here’s the picture. Infrastructure will be fully defined in code—Terraform for cloud resources, Kubernetes for orchestration—while CI/CD flows through Jenkins or ArgoCD. A natural-language interface, driven by Python or JavaScript and backed by NLP, must let my engineers ask for deployments, observability dashboards, or cost breakdowns using plain text, voice commands, or even quick sketches. Under the hood, I expect machine-learning models that learn usage patterns, perform predictive allocation, and spin up or wind down resources across AWS, GCP, and Azure. Extensibility for edge AI, quantum workloads, and digital-twin simulations has to be baked in, not bolted on. Security and compliance cannot lag behind innovation: every module must respect SOC2 and GDPR requirements, and monitoring with Prometheus (or an equivalent you can justify) should feed the self-healing logic as well as a FinOps layer that flags waste in real time. Solid, developer-oriented documentation and reusable code generators are part of the finished product, not afterthoughts. Deliverables I will review to sign off the project: • A runnable multi-cloud IaC repository with CI/CD pipelines ready to demo • The AI/ML engines for prediction, allocation, and automated remediation • A conversational interface (CLI plus simple web front end) showing text, voice, and visual inputs • Integrated observability, security, and FinOps dashboards with live data • Complete technical documentation, setup scripts, and an enhancement roadmap I expect at least five years of demonstrable DevOps experience that includes AI/ML work. Show me past platforms where you combined Terraform, Kubernetes, Jenkins or ArgoCD, and monitoring tools like Prometheus. Point out how you handled scalability, latency, and compliance. When you reply, include a brief enhancement plan outlining how you’d tackle predictive pipelines, self-healing, and multi-cloud rollouts. Work is fully remote; frequent progress updates and milestone demos are required. If you can deliver an AI-driven DevOps ecosystem that truly runs itself, let’s talk.

Project ID: 39732931