Alexis N.

I help startups, SaaS teams, and modern businesses build reliable cloud systems, automate operations, and deploy AI infrastructure that actually works in production — not just in demos.I am a Senior Site Reliability and DevOps Engineer with 10+ years of experience across AWS, Azure, and Kubernetes environments. As the founder of BotBrewLabs, a Fort Collins-based cloud and AI consulting firm, I specialize in bridging the gap between traditional cloud operations and the practical realities of running AI workloads at scale.What I deliver for clients:— Cloud Infrastructure & DevOps: AWS and Azure architecture, Terraform IaC, Kubernetes (EKS/AKS), and CI/CD pipelines (GitHub Actions, Jenkins) that reduce release cycles and improve deployment reliability.— AI Infrastructure & MLOps: Production-ready infrastructure for LLM workloads (Llama, Gemini, Claude, Cohere), model serving pipelines, RAG systems, and AIOps-driven observability using Prometheus, Grafana, and OpenSearch.— Site Reliability Engineering: SLO/SLI definition, error budget management, incident response, runbook development, and on-call optimization to maintain high availability at scale.— Security, Compliance & FinOps: FedRAMP, SOC 2, and NIST 800-53 compliance readiness, IAM hardening, cloud cost optimization, and security posture reviews that reduce risk and waste.Proven results: •Reduced release times by 45% through automated Terraform + Helm deployments •Cut MTTR by 35% with integrated Azure Monitor and Prometheus/Grafana observability •Reduced operational cloud spend by 20% through right-sizing and auto-scaling strategies •Achieved FedRAMP-ready compliance posture for federal and healthcare SaaS platforms My background spans highly regulated environments — from healthcare SaaS (Keet Health/WebPT) and federal agencies (USDA via NetImpact Strategies) to financial institutions (DTCC) — where reliability, security, and compliance are non-negotiable.Through BotBrewLabs, I also offer structured AI Readiness Assessments for organizations that want to adopt AI responsibly: reviewing leadership alignment, governance, infrastructure readiness, and risk exposure before scaling AI use across teams.If you need a senior technical partner who delivers measurable outcomes — not just hours — let's connect.