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

🕒 il y a 3 mois

🇺🇸 États-Unis – Télétravail

💵 $150 000 - $220 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

⛑ Ingénieur DevOps & SRE

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Deepgram

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

🤖 Intelligence artificielle

☁️ SaaS

🔌 API

💰 €47 000 000 Series B en 2022-11

Artificial Intelligence • SaaS • API

Deepgram est un leader de l’IA vocale qui propose des API puissantes pour des applications de speech-to-text, text-to-speech et de compréhension du langage. Sa plateforme permet aux développeurs de créer des solutions d’IA vocale avancées pour des cas d’usage tels que les centres de contact, la transcription médicale, l’IA conversationnelle, et plus encore. Réputée pour une précision, une rapidité et un rapport coût-efficacité inégalés, la technologie de Deepgram est plébiscitée par les plus grandes entreprises comme par les start-ups du monde entier. En offrant des capacités de transcription en temps réel et hautement précises, Deepgram aide les organisations à extraire des insights de leurs données vocales, en en faisant un outil essentiel pour transformer les interactions vocales.

Description

• 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

🎯 Exigences

• 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)

🏖️ Avantages

• 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