DevOps Kubernetes Engineer Gke & ML Platforms

Role: Devops Kubernetes Engineer-GKE & ML Platforms
Location: Charlotte, NC-Onsite-F2F Interview
Duration: 12 Plus Months

Must Have Skills
Kubernetes (Production‑grade clusters)
Google Kubernetes Engine (GKE)
Terraform (Infrastructure as Code)
Docker & Container Orchestration
CI/CD pipelines (Jenkins, GitOps, ArgoCD)
Python / Shell scripting
Cloud Platforms (GCP, AWS or Azure)
Linux Administration

Machine Learning platform enablement
MLOps / Model deployment pipelines
Helm Charts
Prometheus, Grafana, Dynatrace
ArgoCD, GitHub Actions
Kafka, Redis, Stateful workloads on Kubernetes