Platform Engineer - AI/ML Infrastructure (Kubernetes & Terraform)
Deepgram · Engineering
- Location
- Remote, California, United States
- Workplace
- Remote
- Level
- Senior
- Type
- Full-time
- Pay
- $136K–$240K/yr (published by employer)
- Posted
- 4 months ago
- Source
- Ashby
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PythonGoAWSKubernetesTerraform
What the posting covers
Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+…
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and…
Opportunity
We're looking for an experienced Platform Engineer to build and operate the hybrid infrastructure foundation for our advanced AI/ML research and product development. You'll architect, build, and run the platform spanning AWS and our bare metal data centers,…
What You’ll Do
Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services. Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles…
You’ll Love This Role If You
Are passionate about building platforms that empower developers and researchers. Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments. Thrive on optimizing hybrid infrastructure for…
It’s Important To Us That You Have
5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). Proven, hands-on experience building and managing production infrastructure with Terraform. Expert-level knowledge of Kubernetes architecture and operations in a…
It Would Be Great if You Had
Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads. Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle…
Excerpts only. The employer’s page has the complete posting.