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    Platform Engineer - Seattle, United States - Georgia IT Inc

    Georgia IT Inc
    Georgia IT Inc Seattle, United States

    5 days ago

    Default job background
    Description
    Platform Engineer - Kubernetes / Terraform / Azure
    Location - Seattle, WA (remote - PST)
    Position Type: Contract

    US Citizen, Green Card,TN, GC EAD and H4 EAD only No Third-party agencies.

    Responsibilities:
    • Design, deploy, and manage infrastructure solutions using Terraform, focusing on scalability, security, and reliability.
    • Develop and maintain infrastructure as code scripts to automate resource provisioning and configuration.
    • Implement best practices for version-controlled, repeatable deployments using Infrastructure as Code (IaC).
    • Manage and implement Kubernetes clusters for containerized applications.
    • Collaborate with development teams to deploy, scale, and optimize applications within Kubernetes environments.
    • Utilize scripting languages, such as Python, to automate routine tasks and streamline workflows.
    • Ensure the seamless integration of infrastructure components with Continuous Integration/Continuous Deployment (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 the security, scalability, and easy deployability of containerized applications.
    • Facilitate the integration of AI/Client models into the platform, ensuring efficient and reliable data pipelines.
    • Establish monitoring and alerting systems to ensure the health and performance of AI/Client platforms.
    Qualifications:
    • Proven experience in designing and managing infrastructure solutions using Terraform.
    • Strong proficiency in developing and maintaining Infrastructure as Code (IaC) scripts.
    • Experience in managing Kubernetes clusters for containerized applications.
    • Proficient in scripting languages, particularly Python, for automation.
    • Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI/Client applications.
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