Platform Engineer

Overview

Location – Seattle, WA; on-site 3 days a week.

Duration – 12 months+

Rate – DOE

Eligibility – US Citizen, Green Card, TN, GC EAD, and H4 EAD only;
No Third-party agencies, Corp to Corp

• 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.

• Expertise in Azure, AKS, and Terraform.
• Experience deploying and managing Kubernetes clusters and containerized applications.
• Experience with scripting languages (e.g., Python) and automation.
• Experience implementing CI/CD pipelines and integrating with infrastructure.