Staff Kubernetes Platform Engineer

We’re looking for a Kubernetes generalist to help expand and improve our Kubernetes platform automation. If you enjoy writing operators or controllers to automate complex environments, and welcome the challenge of configuring and tuning scaled Kubernetes platforms for enterprise usage, this role should be a good fit.

The work focuses on operating and troubleshooting multi‑tenant Kubernetes clusters across on‑prem bare metal and cloud. We use Rancher with RKE2 on‑prem, and GKE, EKS, and AKS in the cloud. It’s hands‑on, development+operational (DevOps/SRE/Platform Engineering/whatever-its-called-this-week) work: keeping clusters healthy, building and improving automation, supporting high performance GPU workloads, and evolving the platform as Kubernetes and our engineering needs change, all through GitOps style automation.

You’d be joining an experienced Kubernetes team, with room to grow your career through serious project work and mentoring. Example projects include developing self‑healing automation; bare‑metal platform integration, testing, benchmarking, and bring‑up; implementation and evolution of new multi‑tenancy patterns like vcluster; and global policy management using Gatekeeper OPA and Validating Admission Policy.

We’re looking for someone comfortable on Linux (Ubuntu) with a few years of Kubernetes administration experience, solid containerd and Kubernetes control‑plane knowledge, and the ability to write and maintain automation in Python (or Go) and bash. Familiarity with operator/controller patterns, Helm, Kustomize, Kubernetes networking internals (Cilium), git/GitHub, and Agile workflows is expected. Experience with Rancher/RKE2, Portworx, AI workflows/GPUs, OPA, Datadog, is a plus, but not required.