IT - Technology Architect | Cloud Platform | Google Cloud - Architecture

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, 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., 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, Job Title: GEN AI engineer & Agentic AI Engineer Work Location : Charlotte, NC Vendor Rate: 72- 79.80 Contract duration: 6-12 months depending performance Target Start Date: 01…

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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 Build and operate Kubernetes platforms with Terraform based IaC Enable and support open shift containers on Kubernetes Ensure platform reliability through automation, monitoring, and DevOps best practices Strong communication skills Strong programming and automation skills