Hello! I’m Rose Crisp.
I’m an engineer-educator with 25+ years in software and infrastructure automation, including 6 years at Red Hat building, validating, and teaching cloud-native and AI platforms.
I stand up GPU-backed AI stacks on Kubernetes and OpenShift, from vLLM inference on OpenShift AI to RAG and agent apps, and automate them with Go operators, Helm, and GitOps.
Then I turn working deployments into hands-on workshops, demos, and conference talks.
Senior Software Engineer and Educator; partner engineering for OpenShift and OpenShift AI.
- Design and deploy proof-of-concept AI workloads on OpenShift, including GPU-backed RAG chatbots and LLM serving with KServe and vLLM on OpenShift AI.
- Own engineering work for OpenShift AI partnerships, ISV enablement, and partner certification, from first proof of concept through certification.
- Lead Red Hat's Kubernetes Operator Framework workshops, training partners to build, package, and certify operators.
- Built a Red Hat Developer Hub (Backstage) golden-path template that automates GitOps repo scaffolding, Argo CD, and Helm deployments for GPU-backed RAG workloads, turning a multi-team manual setup into a self-service flow (DevConf.US 2025).
- Built an AI observability assistant that summarizes vLLM Prometheus metrics (GPU usage, latency, request volume) with a Llama model served on OpenShift AI.
- Built infrastructure automation with Ansible, Terraform, Bash, HashiCorp Vault, and OpenStack, and CI/CD pipelines in Jenkins and GitLab with automated tests and security scans.
- Containerized application deployments on Kubernetes and Docker, managed with Helm charts.
- Automated the SAS software escrow process with Jenkins, Perl, Bash, and MySQL, increasing production by 400%.
- Managed 600+ N+1 software feature releases per year, from infrastructure setup to delivery.
- Senior Software Developer, Source Management (1997-2015)
- Associate Systems Administrator (1996-1997)
- Technical Student (1994-1996)
Computer Science coursework toward a B.S. (127 credits completed)
- DevConf.US 2025 - “Zero to GitOps: Automating RAG Workloads with Backstage Templates”
- DevConf.CZ 2024 - Workshop co-lead, “Developing your Level 5 Operator in 75 Minutes”
- Cloud Native Rejekts EU 2022 - “From Zero to Auto Pilot: Exploring Kubernetes Operator Capability Levels”
- THAT Conference, PlatformCon, DeveloperWeek Europe, WomenTech Global 2023 - “Create Your Own Resources with CRDs”
- Config Management Camp 2024 - Ansible on AWS
In the context of Kubernetes, an Operator is a method of packaging, deploying, and managing a Kubernetes-native application. Operators leverage Custom Controllers and Custom Resource Definitions (CRDs) to extend Kubernetes functionality and define application-specific behavior.
In this blog post, we will explore the inner workings of the l5-operator, a Kubernetes operator that manages the lifecycle of Bestie resources. We'll delve into its architecture, key components, and the core logic behind its operations.
In this article, we'll highlight the benefits of the JBoss Enterprise Application Platform and provide a detailed step-by-step guide on deploying and managing it effortlessly on OpenShift using the EAP Operator.
In this blog, we will explore the process of installing Open edX on Red Hat Openshift Container Platform..