Site Reliability Engineer – AI & ML Infrastructure, Kubernetes, AWS, Terraform

🕒 Março 10

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $220.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

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Deepgram

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2015

💼 Consultoria

🏥 Saúde

📦 Logística

💰 $47.000.000 Series B em 2022-11

Consulting • Healthcare • Logistics

A Deepgram é uma empresa líder em IA de voz que fornece APIs poderosas para aplicações de reconhecimento de fala, síntese de texto para fala e entendimento de linguagem. Sua plataforma permite que os desenvolvedores criem soluções avançadas de IA de voz para casos de uso como centrais de atendimento, transcrição médica, IA conversacional, entre outros. Conhecida por sua precisão inigualável, velocidade e custo-benefício, a tecnologia da Deepgram é confiada por grandes empresas e startups em todo o mundo. Oferecendo capacidades de transcrição em tempo real e altamente precisas, a Deepgram ajuda as empresas a obter insights a partir de dados de voz, tornando-se uma ferramenta essencial para transformar interações de voz.

Descrição

• 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. • Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments. • Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning. • Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle. • Automate the life cycle of single-tenant, managed deployments

🎯 Requisitos

• 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 large-scale environment • 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 management • Strong scripting and automation skills (e.g., Python, Go, Bash)

🏖️ Benefícios

• Medical, dental, vision benefits • Annual wellness stipend • Mental health support • Life, STD, LTD Income Insurance Plans • Unlimited PTO • Generous paid parental leave • Flexible schedule • 12 Paid US company holidays • Quarterly personal productivity stipend • One-time stipend for home office upgrades • 401(k) plan with company match • Tax Savings Programs • Learning / Education stipend • Participation in talks and conferences • Employee Resource Groups • AI enablement workshops / sessions