kubernetes engineer
Must Have SkillsKubernetes (Production‑grade clusters)Google Kubernetes Engine (GKE)Terraform (Infrastructure as Code)Docker & Container OrchestrationCI/CD pipelines (Jenkins, GitOps, ArgoCD)Python / Shell scriptingCloud Platforms (GCP, AWS or Azure)Linux AdministrationMachine Learning platform enablementMLOps / Model deployment pipelinesHelm ChartsPrometheus, Grafana, DynatraceArgoCD, GitHub ActionsKafka, Redis, Stateful workloads on KubernetesJob DescriptionWe 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.This role requires close collaboration with application, ML, and DevOps teams to ensure reliable containerized deployments, automated infrastructure provisioning, and optimal platform performance.Key ResponsibilitiesDesign, deploy, and manage highly available Kubernetes clusters on GKEBuild and maintain Infrastructure as Code using TerraformSupport containerized analytics platforms on KubernetesImplement and manage CI/CD and GitOps pipelines (Jenkins, ArgoCD)Containerize applications and ML workloads using DockerDeploy and manage microservices, APIs, and batch jobs on KubernetesImplement monitoring, logging, and alerting using Prometheus, Grafana, DynatraceManage Kubernetes networking, ingress, secrets, RBAC, autoscaling, and securityOptimize cluster performance, cost, and resource utilizationTroubleshoot production issues and support enterprise‑grade SLAsCollaborate with developers, data scientists, and platform teamsRequired Skills & Qualifications10+ years of overall IT experience with strong focus on DevOps / Cloud / KubernetesExtensive hands‑on experience with Kubernetes (GKE preferred)Strong experience with Terraform for cloud infrastructure provisioningHands‑on experience with Docker, container orchestration, and microservicesExperience supporting ML workloads or data platforms on KubernetesStrong Linux administration and troubleshooting skillsCI/CD experience using Jenkins, Git, GitOps toolsExperience with cloud services on GCP (preferred), AWS, or AzureScripting experience with Python, ShellSolid understanding of networking, security, and IAM conceptsCertifications (Required / Preferred)Certified Kubernetes Administrator (CKA) – PreferredTerraform Associate – PreferredCloud Certifications (GCP / AWS / Azure) – PreferredTop 3 Responsibilities Expected from SubconBuild and operate Kubernetes platforms with Terraform‑based IaCEnable and support open shift containers on KubernetesEnsure platform reliability through automation, monitoring, and DevOps best practicesStrong communication skillsStrong programming and automation skills