Kubernetes Engineer – GKE & ML Platforms

Hello, I hope you are doing great, please go through with the job description and send me your resumes to [Upgrade to PRO to see contact] or reach me @ 437 837 6030 Ext: 305 Job Title: Kubernetes Engineer – GKE & ML Platforms Work Location: Dallas, TX or Charlotte, NC (Locals) Duration: 12 Months YOE: 15+ Years Locals only, In-Person Interview Mandatory. Job Details 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 Required Skills & Qualifications 10+ years of overall IT experience with strong focus on DevOps / Cloud / Kubernetes Extensive hands‑on experience with Kubernetes (GKE preferred) Strong experience with Terraform for cloud infrastructure provisioning Hands‑on experience with Docker, container orchestration, and microservices Experience supporting ML workloads or data platforms on Kubernetes Strong Linux administration and troubleshooting skills CI/CD experience using Jenkins, Git, GitOps tools Experience with cloud services on GCP (preferred), AWS, or Azure Scripting experience with Python, Shell Solid understanding of networking, security, and IAM concepts Certifications (Required / Preferred) Certified Kubernetes Administrator (CKA) – Preferred Terraform Associate – Preferred Cloud Certifications (GCP / AWS / Azure) – Preferred #kubernetesengineer #AIMLKubernetes #GKEandMLPlatforms