IT - Technology Architect | Cloud Platform | Google Cloud - Architecture
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Overview
Job Description
Job Title: Kubernetes Engineer GKE & ML PlatformsWork Location: Dallas, TX or Charlotte, NCVendor Rate: 99.80 USD/hourContract Duration: 6 12 months (based on performance)Target Start Date: 01 May 2026Does this position require Visa independent candidates only? YESInterview Process Face to face / In person (Mandatory)
Job Details
Must Have Skills
Kubernetes (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 Administration
Machine Learning platform enablementMLOps / Model deployment pipelinesHelm ChartsPrometheus, Grafana, DynatraceArgoCD, GitHub ActionsKafka, 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.
This role requires close collaboration with application, ML, and DevOps teams to ensure reliable containerized deployments, automated infrastructure provisioning, and optimal platform performance.
Key Responsibilities
Design, 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 & Qualifications
10+ 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 Subcon
Build 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 skillsInterview Process Face to face / In person (Mandatory)Work Location Requirement Either Dallas or Charlotte client officeClient Office Addresses
Charlotte:, 300 S Brevard St, Charlotte, NC 28202, Project Code :WF GEN AI PLATFORM SUPPORT CTO
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