Infrastructure Engineer

Summary

Join Deepgram, a leading voice AI platform company, as an experienced Infrastructure Engineer. You will design, implement, and maintain our large-scale distributed systems infrastructure, focusing on network architecture, storage solutions, and compute platforms for AI/ML workloads. This role requires expertise in network engineering, storage systems, and container orchestration. You will build and optimize cost-effective data center infrastructure and manage large-scale deployments using Kubernetes and Slurm. The ideal candidate has 5+ years of experience in infrastructure engineering and a strong background in network engineering and large-scale storage systems. Deepgram offers a collaborative and customer-focused work environment.

Requirements

• 5+ years of experience in infrastructure engineering or similar roles
• Strong background in network engineering and design for reliability
• Experience with large-scale storage systems (distributed file systems, caching solutions)
• Proven track record of managing data center infrastructure
• Expertise in container orchestration platforms (Kubernetes, Slurm)
• Experience with GPU infrastructure management and optimization
• Strong automation and scripting skills

Responsibilities

• Design and implement reliable, high-performance network architectures for distributed systems
• Architect and maintain large-scale storage solutions, including backup systems, distributed caching, and object storage
• Build and optimize cost-effective data center infrastructure
• Develop and maintain GPU compute clusters for AI inference workloads
• Manage large-scale deployments using modern orchestration platforms like Kubernetes and Slurm
• Implement monitoring, alerting, and automation solutions for infrastructure management

Preferred Qualifications

• Experience with software-defined networking
• Knowledge of cost optimization for cloud and on-premise infrastructure
• Familiarity with AI/ML workloads and their infrastructure requirements
• Experience with multi-region infrastructure deployment
• Background in performance optimization for distributed systems
• Certification in relevant cloud platforms (AWS, GCP, Azure)