Kuberentes Administrator / Infrastructure Platform Engineer in Seattle, WA

Georgia Tek Systems

  • Seattle, WA
  • 29 days ago

    Highlights

    Experience building Kubernetes clusters- (we need candidate who can build Kubernetes cluster and not just implementing Kubernetes clusters . Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/Client applications.

    Numbers & Facts

    LocationSeattle, WA

    Description

    Kuberentes Administrator / Infrastructure Platform Engineer
    Location: Seattle, WA
    Type: Contract
    Duration: 12+ months

    US Citizens, GC, visa holders preferred, NO third party corp to corp accepted for this job

    Responsibilities:
    • Will be migrating Azure Arm templated To Terraform.
    • Hands on experience with Azure ARM templates
    • Hands on experience with Terraform
    • Experience building Kubernetes clusters- (we need candidate who can build Kubernetes cluster and not just implementing Kubernetes clusters
    • Should have experience with Azure DevOps.
    • Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.
    • Implement and manage Kubernetes clusters for containerized applications.
    • Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability.
    • Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources.
    • Ensure version-controlled, repeatable deployments using IaC best practices.
    • Should have expertise in Python to automate routine tasks and streamline workflows.
    • Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery.
    • Ensure seamless integration of infrastructure components with CI/CD pipelines.
    • Design, deploy, and maintain scalable and reliable infrastructure for AI/Client platforms.
    • Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/Client applications.
    • Ensure containerized applications are secure, scalable, and easily deployable.
    • Enable seamless integration of AI/Client models into the platform, ensuring data pipelines are efficient and reliable.
    • Establish monitoring and alerting systems to ensure the health and performance of AI/Client platforms.
    • Implement security best practices for AI/Client platforms, ensuring data privacy and compliance with industry standards
    • Experience to take KT from offshore

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