Platform Engineer

About the Role

Platform Engineer - Kubernetes / Terraform / Azure Location – Remote Duration – 12 months Rate: DOE

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.
• 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/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.

Qualifications

Required Skills

Preferred Skills

Pay range and compensation package

• Rate: DOE

Equal Opportunity Statement