Platform Engineer - AI/ML Infrastructure
DeepgramSpeech Recognition company
United StatesSenior
In-Q-Tel
Madrona
Tiger Global Management
AVP
Alkeon
Wing Venture Capital
Software Engineering
About the role
TL;DR
Build and operate hybrid infrastructure for AI/ML research and product development.
- •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.
- •Key Responsibilities Architect and maintain our core computing platform using Kubernetes on AWS and on-premise.
- •Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform.
- •Design, build, and optimize our AI/ML job scheduling and orchestration systems.
- •Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing.
- •Implement and manage the platform's networking and storage solutions to support high-throughput, low-latency workloads.
- •Requirements 5+ years of experience in Platform Engineering, DevOps, or SRE.
- •Proven experience building and managing production infrastructure with Terraform.
- •Expert-level knowledge of Kubernetes architecture and operations.
- •Strong scripting and automation skills (e.g., Python, Bash).
- •Experience with CI/CD systems and building developer tooling.
Required skills
KubernetesTerraformAWSPythonBashCI/CDGitLab CIArgoCDHelm
Nice-to-have skills
PrometheusGrafanaDatadogNginxHAProxy
Domain expertise
ai
Tech stack
KubernetesTerraformAWSPythonBashCI/CDGitLab CIArgoCDHelmPrometheusGrafanaDatadogNginxHAProxy