Populate site with real CV data; restyle OG subtitle
Real career history (Woolworths, Virtus Health, Linde, ELGAS, Darktime), cloud-heavy skills matrix, education, LinkedIn, Sydney location, and projects mapped to actual work. OG subtitle now smaller italic serif.
This commit is contained in:
+63
-15
@@ -1,6 +1,5 @@
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// Short experience summary for the About section (M1).
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// A fuller, dated timeline lands in M2.
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// TODO(Jonathon): fill employer names, exact titles, and dates.
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// Career history (from CV). The About section shows the most recent few;
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// the full list lives here (and on /projects / the CV).
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export type Role = {
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title: string;
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@@ -12,22 +11,71 @@ export type Role = {
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export const experience: Role[] = [
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{
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title: "Platform / Infrastructure Engineer",
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org: "TODO: Employer", // TODO(Jonathon)
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period: "TODO: dates", // TODO(Jonathon)
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title: "Infrastructure / DevOps Engineer",
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org: "Woolworths",
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period: "Aug 2025 – Present",
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summary:
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"Operate and automate a fleet of GPU-backed edge Kubernetes clusters running computer-vision workloads, plus the IaC pipelines that deploy them.",
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"Core DevOps infrastructure engineer for store-edge solutions — turning high-level designs into single-press deployments and CD pipelines.",
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highlights: [
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"Hardened GPU readiness and egress networking across the edge fleet",
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"Built Ansible/AWX automation for repeatable cluster bring-up",
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"Owned observability and network policy for the platform",
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"Single-touch deployment of an edge AI solution running on Kubernetes at the store edge",
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"GPU brought online as code — passthrough via ESXi, end-state manifests / Helm charts",
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"Ansible playbook builds wired through a single source-of-truth pipeline with per-store vars",
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"Removed manual practices across infra and ops — IaC throughout, spec-driven and documented as code",
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],
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},
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{
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title: "TODO: Previous role",
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org: "TODO: Employer", // TODO(Jonathon)
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period: "TODO: dates", // TODO(Jonathon)
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summary: "TODO(Jonathon): one or two lines on a previous role.",
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highlights: [],
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title: "Infrastructure Systems Engineer",
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org: "Virtus Health",
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period: "Aug 2022 – Aug 2025",
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summary:
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"Global IT — optimisation, implementation and projects across an enterprise estate.",
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highlights: [
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"Managed ~1,000 VMs across a global VMware estate",
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"Re-segmented flat sites into isolated VLAN ranges; SD-WAN and Aruba ClearPass onboarding",
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"Migrated workloads to Azure (Blob, AVS); upgraded Palo Alto / FortiGate firewalls",
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"Led a new major-site build — end-to-end services implementation",
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],
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},
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{
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title: "Global IT Infrastructure Engineer",
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org: "Linde Asia Pacific",
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period: "Sep 2019 – Aug 2022",
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summary:
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"Maintained and modernised global infrastructure to enterprise standards across the region.",
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highlights: [
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"Global VMware / Dell hosting; PowerShell automation of manual project tasks",
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"Migrated Google Business → Microsoft 365 across the region; AWS-hosted ERP access",
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"ERP hardware refresh with new mainframe and DR solution; PBX → VoIP across AU/NZ",
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],
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},
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{
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title: "Web Developer / Tech Admin",
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org: "ELGAS",
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period: "Aug 2018 – Sep 2019",
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summary:
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"Development, optimisation and escalation for the IT service-desk team.",
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highlights: [
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"Automated network management and single-click OS updating / app packaging",
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"Cost-saving remote troubleshooting and DR ownership for critical systems",
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],
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},
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{
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title: "IT Technician",
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org: "Darktime Computer Services",
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period: "Nov 2010 – Jun 2013",
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summary:
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"Field and workshop IT across legal firms, schools, real estate and small business.",
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highlights: [
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"SBS 2008 server installs, Exchange, backups and RAID storage for small business",
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"Solo on-site support — diagnose, fix, move on",
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],
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},
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];
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export const education: string[] = [
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"Advanced Diploma in IT Networking and Security",
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"Diploma in IT Networking",
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"Certificate IV in IT Networking",
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"Ongoing study in IT certifications and new techniques",
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];
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+42
-42
@@ -18,63 +18,63 @@ export type Project = {
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export const projects: Project[] = [
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{
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slug: "edge-gpu-inference-platform",
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title: "Edge Kubernetes / GPU Inference Platform",
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slug: "edge-ai-platform",
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title: "Single-Touch Edge AI Platform",
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outcome:
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"Made GPU computer-vision reliable across a fleet of store-edge clusters — no more inference pods racing the GPU at boot.",
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"Turned a high-level edge-AI design into a single-press deployment running on Kubernetes at the store edge.",
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summary:
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"A fleet of single-purpose edge Kubernetes clusters running GPU-accelerated computer-vision workloads. Hardened the GPU readiness path (init-gated so pods never schedule before the device plugin is up) and corrected the egress NAT path so inference results reached upstream services reliably.",
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role: "Platform / Infrastructure Engineer",
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period: "Recent", // TODO(Jonathon): dates
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stack: ["OpenShift", "NVIDIA GPU Operator", "Multus", "SNAT / egress", "GPU device plugin"],
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"Store-edge Kubernetes running GPU-backed AI workloads, deployed from one command. High-level designs become real, problem-solving deployments via CD pipelines — with GPU readiness probing and pod-lifecycle watchdogs so inference never starts before the hardware is ready.",
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role: "Infrastructure / DevOps Engineer · Woolworths",
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period: "2025 – Present",
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stack: ["Kubernetes", "Edge", "NVIDIA GPU", "CD pipelines", "Helm", "Python"],
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featured: true,
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},
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{
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slug: "cv-compliance-verifier",
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title: "Computer-Vision Compliance Verifier",
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slug: "self-hosted-ai-homelab",
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title: "Self-Hosted AI & Homelab Platform",
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outcome:
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"Turned a manual visual check into a containerized GPU workload emitting a structured pass/fail verdict.",
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"A production-grade homelab — GitOps from bare metal to local AI, and the platform that serves this very site.",
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summary:
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"A YOLO-based vision tool packaged as a containerized workload on GPU edge nodes. Runs an inference pipeline against a defined scene and emits a structured, machine-readable verdict — replacing a manual, subjective check with a repeatable one.",
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role: "Platform / Infrastructure Engineer",
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period: "Recent", // TODO(Jonathon): dates
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stack: ["YOLO", "Containers", "GPU nodes", "Kubernetes", "Structured output"],
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featured: true,
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},
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{
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slug: "self-hosted-agent-infra",
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title: "Self-Hosted AI Agent Infrastructure",
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outcome:
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"Ran a private, channel-connected AI agent on my own hardware — no third-party platform holding the data or the keys.",
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summary:
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"A self-hosted agent on a GPU workstation with a Signal-based sibling agent, built on a skill/context-loading framework. Local LLM inference, scoped tool access, and a credential model where the agent never holds a downstream secret directly.",
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role: "Builder",
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period: "Ongoing",
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stack: ["Local LLM (llama.cpp)", "Agent framework", "Skills/tooling", "Signal channel", "RTX 5080"],
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featured: true,
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},
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{
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slug: "homelab-platform",
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title: "Homelab Platform",
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outcome:
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"A production-grade homelab: GitOps from bare metal to apps, with the same rigor I'd apply at work.",
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summary:
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"Proxmox with PCIe passthrough (GPU/SATA) underneath single-node Talos clusters, all driven by ArgoCD GitOps. Split-horizon DNS, SSO, observability, NAS-backed restic backups, and local LLM inference on a Blackwell GPU — the platform that hosts this very site.",
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"Proxmox with PCIe passthrough under single-node Talos and OpenShift clusters, all driven by ArgoCD GitOps. Local hosted AI on a Blackwell GPU, split-horizon DNS (Pi-hole), VPN with 2FA/SSO, Prometheus/Grafana observability, ZFS storage, and NAS-backed restic backups. Optimising, securing and learning in the open.",
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role: "Owner / Operator",
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period: "Ongoing",
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stack: ["Proxmox", "Talos", "ArgoCD", "Cilium", "Cloudflare Tunnel", "Prometheus"],
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featured: false,
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stack: ["Talos", "OpenShift", "ArgoCD", "Proxmox", "Local LLM", "Cloudflare Tunnel"],
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featured: true,
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},
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{
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slug: "iac-fleet-automation",
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title: "IaC Automation for Fleet Deployments",
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title: "IaC Fleet Automation",
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outcome:
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"Stood up identical edge clusters from code — GPU stack, networking, and secrets templated, not hand-configured.",
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"Stood up identical edge sites from code — every store comes up the same way, every time.",
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summary:
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"Ansible/AWX playbooks for fleet deployment: GPU operator install, CNI and templated network attachments, container image pre-pull, and secrets delivered via Vault — so a new edge site comes up the same way every time.",
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"Ansible/AWX playbooks wired through a single source-of-truth pipeline: GPU operator install, templated network attachments, container image pre-pull, and secrets delivered at deploy time. Air-gapped registry workflows mirror images across ACR and NVCR so disconnected edge sites still build.",
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role: "Automation Engineer",
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period: "Recent", // TODO(Jonathon): dates
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stack: ["Ansible", "AWX", "Vault", "Multus", "GPU Operator"],
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period: "2025 – Present",
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stack: ["Ansible", "AWX", "GitOps", "ACR / NVCR", "Image pre-pull", "Secrets mgmt"],
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featured: true,
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},
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{
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slug: "gpu-as-code",
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title: "GPU-as-Code on the Edge",
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outcome:
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"Brought GPUs online as code — passthrough, readiness-gated, and reproducible across the fleet.",
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summary:
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"GPU passthrough configured through ESXi via code with end-state manifests and Helm charts, paired with Bash/Shell readiness probes and Kubernetes watchdogs. DCGM-exporter feeds GPU and container-workload health into Prometheus and AWX job-level reporting.",
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role: "Infrastructure / DevOps Engineer",
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period: "2025 – Present",
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stack: ["GPU passthrough", "ESXi", "DCGM Exporter", "Prometheus", "Bash", "Watchdogs"],
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featured: false,
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},
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{
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slug: "global-infra-modernisation",
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title: "Global Infrastructure Modernisation",
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outcome:
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"Modernised enterprise infrastructure at scale — ~1,000 VMs, segmented networks, multi-region cloud migration.",
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summary:
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"Across global IT roles: managed a ~1,000-VM VMware estate, re-segmented flat sites into isolated VLAN ranges with SD-WAN and Aruba ClearPass, upgraded Palo Alto / FortiGate firewalls, and migrated workloads to Azure and Microsoft 365 — including ERP hardware refresh, DR, and PBX-to-VoIP.",
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role: "Infrastructure Engineer · Virtus Health / Linde",
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period: "2019 – 2025",
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stack: ["VMware", "Azure", "SD-WAN", "Aruba ClearPass", "FortiGate", "Microsoft 365"],
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featured: false,
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},
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];
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+5
-5
@@ -5,7 +5,8 @@ export const site = {
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name: "Jonathon Wright",
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// Short handle used in the mono "logo".
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handle: "jwright",
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role: "Infrastructure Engineer",
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role: "Infrastructure & DevOps Engineer",
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location: "Sydney, Australia",
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// Outcome-led positioning (hero headline).
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positioning:
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"Building secure Kubernetes platforms, automated infrastructure fleets and GPU-backed edge systems.",
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@@ -19,14 +20,13 @@ export const site = {
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"Edge AI",
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],
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// One-paragraph elevator pitch for the About section.
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bio: "I design and run platforms that have to keep working when no one is watching — fleets of GPU-backed Kubernetes clusters at the edge, the IaC pipelines that deploy them, and the observability and network policy that keep them honest. I care about reliability you can reason about, security that's the default rather than a bolt-on, and automation that removes the manual step entirely instead of documenting it.",
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bio: "I'm an infrastructure and DevOps engineer who turns high-level designs into single-press deployments. My day job is store-edge Kubernetes running GPU-backed AI; my craft is the automation, GitOps and network policy that make a fleet behave the same way every time. I've run global infrastructure at enterprise scale — a thousand VMs, multi-region migrations, segmented networks — and I bring that same rigour to the smallest edge node. I'm an IaC enthusiast: if it's a manual step, I want it gone.",
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// Canonical URL (used for OG/sitemap/RSS).
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url: "https://www.bztmon.com",
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// Contact.
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// Public contact. (CV lists jonnywright2011@live.com.au — using the primary below;
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// tell me if you'd rather the site match the CV exactly.)
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email: "jonny.wright225@gmail.com",
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// Set when a real CV is dropped at public/cv.pdf — the button is hidden until then.
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// Detection is automatic (see Layout/Hero); this is just an override if ever needed.
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ogImage: "/og.png",
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locale: "en",
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} as const;
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+48
-43
@@ -10,77 +10,82 @@ export type SkillGroup = {
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export const skills: SkillGroup[] = [
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{
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title: "Platform Engineering",
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title: "Cloud & Identity",
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blurb: "Hybrid estates across the major clouds, with identity done properly.",
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items: [
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"Azure",
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"Entra ID",
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"Intune",
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"AWS",
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"GCP",
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"Microsoft 365",
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"Azure Blob / S3",
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],
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},
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{
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title: "Platform & Virtualization",
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blurb: "Kubernetes platforms designed to be reasoned about and recovered.",
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items: [
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"Kubernetes",
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"Talos Linux",
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"OpenShift",
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"Talos Linux",
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"vSphere / VMware ESXi",
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"Proxmox",
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"containerd",
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"ArgoCD / GitOps",
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"Helm & Kustomize",
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"Cilium / flannel",
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"Gateway API & Ingress",
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],
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},
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{
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title: "Infrastructure Automation",
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blurb: "Removing the manual step entirely, not documenting it.",
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title: "Automation & IaC",
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blurb: "Single-touch deployments — removing the manual step, not documenting it.",
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items: [
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"Ansible",
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"AWX",
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"GitOps pipelines",
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"Renovate",
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"Image pre-pull & templating",
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"Reproducible cluster bring-up",
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],
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},
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{
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title: "Linux & Systems",
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blurb: "From the hypervisor up to the workload.",
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items: [
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"Debian / RHEL",
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"systemd",
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"Proxmox / KVM",
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"PCIe / GPU passthrough",
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"LVM & block storage",
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"restic / SMB backup",
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"Bash & PowerShell",
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"Ansible / AWX",
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"PowerShell (PowerCLI)",
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"Python",
|
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"Bash / Shell",
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"Terraform",
|
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"Image pre-pull & air-gapped registries (ACR / NVCR)",
|
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"Secrets management",
|
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],
|
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},
|
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{
|
||||
title: "Networking & Security",
|
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blurb: "Default-deny, least-privilege, and a small attack surface.",
|
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blurb: "Default-deny, segmentation, and a small attack surface.",
|
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items: [
|
||||
"Split-horizon DNS",
|
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"Cloudflare Tunnel",
|
||||
"Reverse proxy (Traefik / nginx)",
|
||||
"NetworkPolicies",
|
||||
"OIDC / SSO (Authentik)",
|
||||
"Secrets (Vault / Infisical / ESO)",
|
||||
"TLS & cert-manager",
|
||||
"SD-WAN",
|
||||
"802.1Q VLAN segmentation",
|
||||
"ACLs / IPSec / RADIUS",
|
||||
"Aruba ClearPass",
|
||||
"Palo Alto / FortiGate",
|
||||
"Firewall policy governance",
|
||||
"RBAC · 2FA / SSO",
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Observability",
|
||||
blurb: "Knowing the system is healthy, not just the pods.",
|
||||
title: "Observability & Ops",
|
||||
blurb: "Knowing the system is healthy — and the GPUs with it.",
|
||||
items: [
|
||||
"Prometheus",
|
||||
"Grafana",
|
||||
"Alertmanager",
|
||||
"node-exporter / kube-state-metrics",
|
||||
"ServiceMonitors",
|
||||
"DCGM Exporter",
|
||||
"PRTG / LibreNMS",
|
||||
"AWX job reporting",
|
||||
"Veeam backup",
|
||||
"ITIL processes",
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "AI & GPU Infrastructure",
|
||||
blurb: "Serving vision and language models on real hardware.",
|
||||
title: "Edge AI & GPU",
|
||||
blurb: "Serving vision and language models on real hardware at the edge.",
|
||||
items: [
|
||||
"NVIDIA GPU Operator",
|
||||
"Multus / SR-IOV",
|
||||
"GPU passthrough (ESXi, as code)",
|
||||
"GPU readiness probing & watchdogs",
|
||||
"Pod lifecycle management",
|
||||
"YOLO / computer-vision inference",
|
||||
"Local LLM serving (llama.cpp)",
|
||||
"Agent frameworks & tooling",
|
||||
"Hardware-isolated workloads (Kata)",
|
||||
"Edge Kubernetes",
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
+6
-6
@@ -1,5 +1,4 @@
|
||||
// Social / contact links. `mailto` is built from site.email.
|
||||
// TODO(Jonathon): confirm GitHub + LinkedIn handles (placeholders below).
|
||||
// Social / contact links.
|
||||
|
||||
export type Social = {
|
||||
label: string;
|
||||
@@ -12,14 +11,15 @@ export type Social = {
|
||||
|
||||
export const socials: Social[] = [
|
||||
{
|
||||
label: "GitHub",
|
||||
href: "https://github.com/jwrong96", // TODO(Jonathon): confirm public GitHub handle
|
||||
// Self-hosted public git — his code, on his own infrastructure (goes live with git.bztmon.com).
|
||||
label: "Source",
|
||||
href: "https://git.bztmon.com/jwright",
|
||||
external: true,
|
||||
icon: "M12 .5A11.5 11.5 0 0 0 .5 12a11.5 11.5 0 0 0 7.86 10.92c.58.1.79-.25.79-.56v-2c-3.2.7-3.88-1.37-3.88-1.37-.53-1.34-1.3-1.7-1.3-1.7-1.06-.72.08-.71.08-.71 1.17.08 1.78 1.2 1.78 1.2 1.04 1.79 2.73 1.27 3.4.97.1-.76.41-1.27.74-1.56-2.55-.29-5.24-1.28-5.24-5.7 0-1.26.45-2.29 1.19-3.1-.12-.29-.52-1.46.11-3.05 0 0 .97-.31 3.18 1.18a11 11 0 0 1 5.8 0c2.2-1.5 3.17-1.18 3.17-1.18.63 1.59.24 2.76.12 3.05.74.81 1.18 1.84 1.18 3.1 0 4.43-2.69 5.4-5.25 5.69.42.36.8 1.08.8 2.18v3.23c0 .31.21.67.8.56A11.5 11.5 0 0 0 23.5 12 11.5 11.5 0 0 0 12 .5Z",
|
||||
icon: "M21.6 11.2 12.8 2.4a1.3 1.3 0 0 0-1.9 0L9 4.3l2.3 2.3a1.6 1.6 0 0 1 2 2L15.6 11a1.6 1.6 0 1 1-1 1l-2.1-2.2v5.6a1.6 1.6 0 1 1-1.3 0V9.8a1.6 1.6 0 0 1-.6-2.1L8.1 5.3l-5.7 5.7a1.3 1.3 0 0 0 0 1.9l8.8 8.8a1.3 1.3 0 0 0 1.9 0l8.5-8.5a1.3 1.3 0 0 0 0-2Z",
|
||||
},
|
||||
{
|
||||
label: "LinkedIn",
|
||||
href: "https://www.linkedin.com/in/jonathon-wright", // TODO(Jonathon): confirm LinkedIn URL
|
||||
href: "https://www.linkedin.com/in/jonathon-w-2697b995",
|
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Reference in New Issue
Block a user