Jerry B.

I build and run production cloud infrastructure for SaaS and AI products: Kubernetes, Terraform, and CI/CD on AWS, GCP, and Azure, plus LLM and RAG deployments that hold up at scale. 100 Jobs | $100K+ Earned | 22,000+ Hours | 100% Job Success | Top Rated | RHCE Certified | 12+ Years in DevOps & Cloud [ RESULTS CLIENTS HAVE SEEN ] - Deployment time cut by up to 70% with automated CI/CD pipelines - Cloud spend reduced 25 to 40% through right-sizing, architecture fixes, and monitoring - 99.99% uptime on resilient, multi-zone Kubernetes clusters [ SELECTED WORK ] - Long-term technical partner to a US founder-led company running 30+ marketing products: servers, backend deployments, support, and a full platform migration to AWS - Live and automated webinar SaaS: Kubernetes operations, CI/CD, scaling and monitoring for production video workloads - AI-powered digital sales room: containerized deployments, observability and security controls for AI-driven document workflows - Online ordering and POS platform: Terraform-managed cloud infrastructure and deployment pipelines across multiple integrations [ HEAR IT FROM A CLIENT ] Don't take my word for it. In the first project of my portfolio below, one of my clients explains in their own words what it was like to work with me and what we delivered. [ WHO I WORK BEST WITH ] Founders, CTOs, and engineering leads who are thinking: - "Our deployments are manual and fragile. We need a pipeline we can trust." - "Our cloud bill keeps growing and nobody can explain why." - "We added an LLM feature and now we need it secure, monitored, and affordable at scale." - "We want AI in our product, built by someone who also owns the infrastructure it runs on." [ NOT THE RIGHT FIT IF ] - You are optimizing for the lowest hourly rate rather than systems that stay up - You want a quick AI demo with no plan for running it in production - You want quick patches with no documentation or handover [ DEVOPS & CLOUD ] - Kubernetes platforms: EKS, GKE, AKS, Helm, autoscaling, GitOps with ArgoCD - Infrastructure as Code: Terraform, Ansible, CloudFormation, reusable modules - CI/CD: GitHub Actions, GitLab CI, Jenkins, Bitbucket Pipelines - Cloud migrations: on-prem to cloud, cloud to cloud, cloud to dedicated servers - Observability and SRE: Prometheus, Grafana, ELK, Datadog, SLOs, incident response - DevSecOps: IAM, RBAC, HashiCorp Vault, hardening, encryption at rest and in transit, audit logging - Cost optimization and FinOps reviews [ AI INTEGRATION & INFRASTRUCTURE ] - LLM integration: OpenAI, Claude, and AWS Bedrock APIs wired into existing products - RAG pipelines: embeddings, vector databases (Pinecone, Qdrant, pgvector), retrieval APIs - Self-hosted and open-weight models on GPU Kubernetes, with autoscaling inference - AI workflow automation: n8n, Airflow, LangChain, event-driven pipelines - LLMOps: token and cost monitoring, prompt and model versioning, guardrails, secrets - MLOps platforms: SageMaker, Vertex AI, Hugging Face, MLflow [ INDUSTRIES ] SaaS | AI Platforms | Video and Webinar Streaming | E-Commerce, Ordering and POS | Document and Contract Management [ CORE SKILLS ] DevOps Engineering | Kubernetes Administration | Terraform Infrastructure as Code | AWS Cloud Architecture | Google Cloud Platform | Microsoft Azure | CI/CD Pipeline Automation | AI Integration | LLM Deployment | RAG Infrastructure | MLOps | Site Reliability Engineering | DevSecOps | Cloud Migration | Cloud Cost Optimization [ HOW I WORK ] Every engagement ends with documentation and a proper handover, so your team can run what I build. I work with teams across time zones and keep a daily overlap with yours, wherever you are based, and I am backed by the Vavensoft engineering team when a project needs more hands. Send me your current setup and the one thing that is breaking, costing too much, or blocking your AI launch. You will hear back the same business day with how I would approach it.