Remote Site Reliability Engineer - Cloud & GPU Infra Automation

Droisys; United States; Teletrabalho; USD 110 000 - 160 000; Tempo integral

Resumo da oferta

Droisys is seeking a Site Reliability Engineer (SRE) to join our remote, full-time team. You will build and automate infrastructure workflows in private cloud environments, manage large-scale server farms, and monitor systems using Grafana, Zabbix, and other observability tools.

The role emphasizes on-call support, high availability, and GPU/semiconductor infrastructure experience. The ideal candidate has 4+ years in DevOps/SRE, strong Linux administration, and hands-on experience with Python,

Qualificações

• 4+ years of experience in DevOps/SRE environments.
• Strong Linux administration and troubleshooting skills.
• Experience with Python, Shell Scripting, Git, Perforce, MySQL.
• Hands-on with VMware, KVM, Docker, Kubernetes, and Infrastructure as Code (IaC).
• Knowledge of server applications including Nginx, Apache, Tomcat, and MySQL.
• Experience with semiconductor/SoC infrastructure, GPU platforms, CUDA/TensorRT is highly preferred.

Responsabilidades

• Build and automate infrastructure workflows in private cloud environments.
• Manage large-scale server farms using Ansible, Terraform, Chef, Docker, and Kubernetes.
• Monitor infrastructure using Grafana, Zabbix, and other observability tools.
• Provide on-call support and ensure high availability of services.
• Optimize regression test frameworks and develop self-healing automation solutions.
• Support GPU infrastructure, hardware bring-up, and large-scale infrastructure deployments.

Conhecimentos

DevOps/SRE experience

Linux administration

Python

Shell scripting

Git

Perforce

MySQL

VMware

KVM

Docker

Kubernetes

IaC

Nginx

Apache

Tomcat

CUDA/TensorRT

Ferramentas

Ansible

Terraform

Chef

Descrição da oferta de emprego

Droisys is seeking a Site Reliability Engineer (SRE) to join our remote, full-time team. You will build and automate infrastructure workflows in private cloud environments, manage large-scale server farms, and monitor systems using Grafana, Zabbix, and other observability tools.

The role emphasizes on-call support, high availability, and GPU/semiconductor infrastructure experience. The ideal candidate has 4+ years in DevOps/SRE, strong Linux administration, and hands-on experience with Python,