Cloud Platform Engineer – AI Inference Infra

SambaNova, Inc.; Austin (TX); On-site; USD 131,000 - 197,000; Full time

Benefits offered by this job

Health insurance

Equity

HSA

Dental insurance

Vision insurance

Job summary

SambaNova Systems is hiring a new graduate Cloud Platform Engineer to join the Cloud Platform team. You will write automation, manage Kubernetes clusters and Terraform modules, and help stand up new regions to keep our inference service fast and reliable.

You will build monitoring dashboards, create CI/CD pipelines, and participate in on-call rotation as you ramp up. A BS in CS or related field and experience with Python/Go, Docker, Kubernetes, and cloud providers are required or preferred.

Qualifications

• BS degree in CS, CE, or related field
• Demonstrated scripting/programming in Python/Go
• Experience with Linux and CLIs
• Coursework or projects in distributed systems/cloud computing
• Understanding TCP/IP, DNS, HTTP
• Experience with Docker and Kubernetes
• Experience with a public cloud (AWS, GCP, or Azure)
• Experience with IaC tools (Terraform)
• Experience with monitoring tools (Prometheus, Grafana)
• Experience with CI/CD tools (GitHub Actions, Jenkins, ArgoCD)

Responsibilities

• Build monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog
• Manage infrastructure as code with Terraform and Ansible
• Operate and maintain Kubernetes clusters for inference workloads
• Automate setup of AI infrastructure in new regions
• Build CI/CD pipelines for model versions and service updates
• Participate in shared on-call rotation and incident response

Skills

Python

Go

Linux

Distributed systems

Networking basics

Docker

Kubernetes

AWS/GCP/Azure

Terraform

CI/CD

Education

B.S. in Computer Science or related field

M.S. in Computer Science or related field

Tools

Terraform

Ansible

Docker

Kubernetes

GitHub Actions

Jenkins

ArgoCD

Job description

SambaNova Systems is hiring a new graduate Cloud Platform Engineer to join the Cloud Platform team. You will write automation, manage Kubernetes clusters and Terraform modules, and help stand up new regions to keep our inference service fast and reliable.

You will build monitoring dashboards, create CI/CD pipelines, and participate in on-call rotation as you ramp up. A BS in CS or related field and experience with Python/Go, Docker, Kubernetes, and cloud providers are required or preferred.