Platform Engineer

GeorgiaTEK Systems Inc.

United States

On-site

USD 120,000 - 160,000

Full time

16 hours ago
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Job summary

GeorgiaTEK Systems Inc. is seeking a Platform Engineer to design, deploy, and manage scalable infrastructure with Terraform, Kubernetes, and Docker on US-based environments. You will automate provisioning and configuration, and collaborate with development teams to deploy and optimize AI/ML platforms.

The role emphasizes secure and reliable infrastructure, CI/CD integration, and data pipelines for AI/ML workloads. Strong scripting and automation skills are essential.

Responsibilities

  • Design, deploy, and manage infrastructure using Terraform for scalable, secure environments.
  • ,

Skills

Python scripting
Automation
Collaboration

Tools

Terraform
Kubernetes
Docker
CI/CD

Job description

Responsibilities

  • 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.
  • 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/ML platforms.
  • Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/ML applications.
  • Ensure containerized applications are secure, scalable, and easily deployable.
  • Enable seamless integration of AI/ML models into the platform, ensuring data pipelines are efficient and reliable.
  • Establish monitoring and alerting systems to ensure the health and performance of AI/ML platforms.
  • Implement security best practices for AI/ML platforms, ensuring data privacy and compliance with industry standards.
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