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

Deepgramvia Remote Rocketship

RemotoRemotoPlenoCLT25 dias atrás

Salário Estimado

R$ 12.500,00 - R$ 18.333,00

Tecnologias

Python Go AWS Kubernetes IA

0de 100

Excelente

Score da Vaga

Descrição da Vaga

Job 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 Requirements:

•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) Benefits:

•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

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Informações

NívelPleno

ContratoCLT

LocalRemoto

RemotoSim

MoedaBRL

Publicada25 dias atrás

FonteRemote Rocketship

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