Devops Kubernetes Engineer

Hello Folks NOTE: Need Local Candidates | Face to Face Interview Required 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 Job Description We are seeking a highly skilled Kubernetes Engineer with strong experience in GKE, Terraform, and Cloud‑Native Infrastructure, capable of supporting machine learning and high‑scale enterprise workloads. The ideal candidate will have hands‑on expertise in designing, building, and operating secure, scalable Kubernetes platforms, with exposure to ML model serving and MLOps pipelines. Key Responsibilities Design, deploy, and manage highly available Kubernetes clusters on GKE Build and maintain Infrastructure as Code using Terraform Support containerized analytics platforms on Kubernetes Implement and manage CI/CD and GitOps pipelines (Jenkins, ArgoCD) Containerize applications and ML workloads using Docker Deploy and manage microservices, APIs, and batch jobs on Kubernetes Implement monitoring, logging, and alerting using Prometheus, Grafana, Dynatrace Manage Kubernetes networking, ingress, secrets, RBAC, autoscaling, and security Optimize cluster performance, cost, and resource utilization Troubleshoot production issues and support enterprise‑grade SLAs Collaborate with developers, data scientists, and platform teams 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 Top 3 Responsibilities Expected from Subcon [Upgrade to PRO to see contact]