IT Technology Architect | Cloud Platform | Google Cloud Architecture

Job Title: Kubernetes Engineer GKE & ML Platforms
Work Location: Dallas TX or Charlotte NC
Vendor Rate: 99.80 USD/hour
Contract Duration: 6 12 months (based on performance)
Target Start Date: 01 May 2026
Does this position require Visa independent candidates only YES
Interview 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 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.

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 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

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
Interview Process Face to face / In person (Mandatory)
Work Location Requirement Either Dallas or Charlotte client office
Client Office Addresses

Charlotte: 300 S Brevard St Charlotte NC 28202 Project Code :WF GEN AI PLATFORM SUPPORT CTO