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Platform Engineer - AI/ML Infrastructure (Kubernetes & Terraform)
DeepgramUSA | Remote · Remote · Senior
$136,000 – $240,000
Listed on Deepgram’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Deepgram seeks a platform engineer to design and operate hybrid cloud and bare-metal infrastructure supporting large-scale AI/ML workloads, using Kubernetes, Terraform, and GPU job scheduling. This role suits experienced infrastructure engineers comfortable with rapid change, AI-first practices, and building self-service platforms that accelerate research and development.
Our summary, not Deepgram’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years platform engineering, DevOps, or SRE experience
- Production Terraform infrastructure management
- Expert Kubernetes architecture and operations at scale
- Scripting and automation (Python, Go, or Bash)
- CI/CD systems experience (GitLab CI, Jenkins, or ArgoCD)
- Hybrid cloud infrastructure (AWS and on-premise)
- GPU workload management
Nice to have
- Slurm HPC job scheduler experience
- Bare metal infrastructure management and provisioning
- FinOps and cloud cost optimization
- Kubernetes networking solutions (Calico, Cilium)
- Kubernetes storage solutions (Ceph, Rook)
- Multi-region or hybrid cloud environments