Deepgram

Deepgram

Platform Engineer - AI/ML Infrastructure (Kubernetes & Terraform)

USA | Remote

Sponsorship not specifiedDetected 18 days ago
PythonGoBashGitAWSKubernetesTerraformCI/CDJenkinsDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningIncident ResponseEmbedded SystemsResearchArgo CD

About the role

  • Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency.
  • There is no organization in the world that understands voice better than Deepgram.
  • 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.

Responsibilities

  • 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 with Terraform, ensuring our environments are reproducible, versioned, and automated.
  • Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources.
  • Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing.
  • Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle.
  • Are passionate about building platforms that empower developers and researchers.

Requirements

  • 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
  • Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling.
  • Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads.

Benefits

  • Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning.
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This listing is sourced directly from Deepgram's careers page and normalized into a canonical job model.