Cloud Engineer

Overview

Cloud Engineer to build and own cloud platforms and DevOps pipelines for AI model deployment and cloud operations across AWS/Azure/GCP.

What you'll do

• Build and maintain cloud-based platform services and DevOps pipelines for AI model deployment.
• Develop and maintain Infrastructure as Code (IaC) scripts to deploy cloud resources and automate application installs.
• Automate CI/CD pipelines and continually evolve deployment methods across environments.
• Create Docker containerization pipelines for Nvidia Nemo/NIM models and services.
• Work on containerization and orchestrate containers using Kubernetes.
• Set up end-to-end CI/CD using AWS/Azure DevOps tool components.
• Implement automation, monitoring, logging, alerting, and deployment solutions and ensure security/compliance.

What you'll need

• Experience with AWS/Azure/GCP (one or more).
• Experience in containers development, Kubernetes, DevOps tools, and CI/CD pipeline development (including Jenkins).
• Deep knowledge in general IT and public cloud areas: networking, infrastructure, security, storage, and operating systems (Linux/Windows).
• Experience with Infrastructure as Code tooling.
• Proficiency with Windows and/or Linux server OS.
• Strong scripting skills in Python and PowerShell/Bash.
• 7+ years of experience in DevOps and cloud experience tool chaining and deployment automation.
• Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field.

Details

• Works collaboratively with AI and Product teams.