role: Senior Platform & Infrastructure Engineer
platform: Amazon EKS Β· multi-tenant Β· 300-400 nodes Β· 250+ microservices
product: Nexus β a Frost & Sullivan Top-20 Global MDR
focus: [ kubernetes, ai-infrastructure, platform-engineering, cloud-security ]
lately: LLM inference at scale (vLLM Β· GPU Β· AWS Trainium & Inferentia)
agent-driven operations β ~70% of SRE toil, run by an AI operator
ask-me-about: [ k8s-at-scale, bare-metal-k8s, gitops, observability, zero-trust ]- π Sole platform engineer behind a multi-tenant EKS platform serving a Top-20 global MDR product.
- π§ I turn sprawling, manual infrastructure into self-service platforms teams actually rely on β zero-trust, fault-tolerant, self-healing.
- ποΈ Golden Kubestronaut β every CNCF certification plus the Linux Foundation LFCS, held concurrently. One of only a few hundred worldwide.
- βοΈ I write up the hard parts β the trade-offs and the numbers I can defend β chrisjaimon.com/writeups
Click any badge to verify on Credly.
| ποΈ Kubernetes on Bare Metal | A 15-part series on production bare-metal K8s β Talos, Cluster API, Metal3, Cilium. |
| π The Death of the YAML Engineer | Building an internal developer platform that hides Kubernetes. |
| π¦ When the Gap Is Huge, Leap | A blue-green Kubernetes upgrade β six versions in one jump. |
| π§ Multi-Model LLM Inference on EKS | Serving vLLM across three generations of silicon: Trainium, Inferentia, GPU. |
It has an AI concierge and an MCP server, so your agent can read it too.


































