Platform Engineer – AI/ML Infrastructure - Remote

Overview

Deepgram is seeking an expert Platform Engineer to build and operate the hybrid infrastructure for AI/ML research and product development, focusing on creating a robust self-service environment using Kubernetes, AWS, and Infrastructure-as-Code.

In Short

• Architect and maintain core computing platform using Kubernetes on AWS and on-premise.
• Develop and manage infrastructure using Infrastructure-as-Code principles with Terraform.
• Design and optimize AI/ML job scheduling and orchestration systems.
• Provision and maintain on-premise bare metal server infrastructure for GPU computing.
• Implement networking and storage solutions for hybrid environments.
• Develop observability stack for platform health.
• Collaborate with AI researchers to build tools and workflows.
• Automate life cycle of single-tenant managed deployments.

Requirements

• 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering.
• Hands-on experience building and managing production infrastructure with Terraform.
• Expert-level knowledge of Kubernetes in a large-scale environment.
• Experience with HPC job schedulers like Slurm for GPU workloads.
• Experience managing bare metal infrastructure.
• Strong scripting and automation skills (Python, Go, Bash).

Benefits

• Opportunity to work on cutting-edge technology in the AI industry.
• Collaborative and inclusive work environment.
• Focus on continuous improvement and developer experience.