Georgia IT Inc
Platform Engineer- Seattle,WA
Georgia IT Inc, Seattle, Washington, us, 98127
Job- Platform Engineer
Location- Seattle, WA
Duration- Contract
Rate- DOE
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.
Implement and manage Kubernetes clusters for containerized applications.
Collaborate with development teams to
deploy, scale, and optimize applications in Kubernetes environments. Leverage scripting languages (e.g 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.
deploy, scale, and optimize applications in Kubernetes environments. Leverage scripting languages (e.g 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.