I’m Royer Ramirez Ruiz, a Staff DevOps & MLOps Engineer building and operating large-scale infrastructure for cloud, on-prem, and AI-driven systems.
I specialize in making complex platforms reliable, secure, and boring in production.
- ⚙️ Cloud & On-Prem Kubernetes — EKS, Talos (Kubernetes on Rails), multi-cluster & edge deployments
- 🚀 CI/CD at Scale — Bazel, GitHub Actions (self-hosted), BuildKit (multi-arch)
- 🤖 AI / Robotics Platforms — GPU orchestration, training & inference pipelines
- 🔐 Security & Compliance — Zero-trust networking, mTLS, OIDC (Dex), SOC 2, ISO27001
- 📊 Observability & Reliability — High churn workloads, metrics, logs, and alerts
- 🌐 Multi-cloud + on-prem global networks powering the factories of tomorrow, along with multi-cloud environments
- 🧱 Kubernetes platforms powering AI training, inference, and edge robotics systems
- 🔁 Artifact, cache, and build systems for large monorepos
- 📦 Secure internal registries & data pipelines for AI/ML and factory workloads
- 📈 Observability stacks built to scale
- 🔐 Zero-trust service-to-service architectures for regulated environments
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🌐 Global Infrastructure Platforms
Designed and operated multi-cloud, on-prem, and edge Kubernetes platforms supporting robotics, AI, and factory workloads. -
🚀 Build & Delivery Systems
Built reproducible build pipelines and artifact distribution systems for large monorepos and distributed teams. -
🤖 AI / ML Platforms
Orchestrated GPU and CPU compute for distributed training, continuous learning, and low-latency inference. -
🔐 Security & Networking
Implemented zero-trust architectures, secure connectivity between sites, and compliance-ready infrastructure. -
📊 Reliability at Scale
Designed observability stacks for thousands of short-lived jobs and pods, enabling fast detection and recovery. -
🧠 Technical Leadership
Led migrations, set platform standards, and mentored engineers on systems design and operations.
- 💡 Open to collaborating on AI, ML, and robotics infrastructure
- 🌍 Always happy to connect with platform & infrastructure engineers
- 💬 Enjoy deep dives on Kubernetes internals, CI/CD, and production failures
Infrastructure • Automation • Reliability