Description

You will manage and optimize cloud infrastructure specifically designed for AI and GPU-intensive workloads.

Responsibilities

• Provision and maintain scalable, high-availability infrastructure on Digital Ocean Cloud.
• Administer Linux-based servers and clusters optimized for GPU compute and high-speed networking like RoCE.
• Configure and troubleshoot GPU hardware, including NVIDIA GPUs and software stacks like CUDA and cuDNN.
• Automate resource provisioning and management using Terraform and Ansible.
• Build and optimize CI/CD pipelines using GitHub Actions for GPU-based server testing and deployment.
• Implement network security through firewalls, VLANs, and VPNs to meet SOC 2 or ISO 27001 standards.
• Manage containerized environments using LXC and monitor system performance via Prometheus, Victoria Metrics, and Grafana.

Required Skills

• 3+ years of experience in DevOps, SRE, or cloud infrastructure management.
• At least 1 year of experience working directly with GPU-based compute environments in the cloud.
• Proficiency with Linux system administration.
• Experience with Infrastructure as Code using Terraform and Ansible.
• Hands-on experience with CI/CD tools, specifically GitHub.
• Knowledge of networking concepts including VLANs and high-speed interconnects.
• Familiarity with cluster management tools such as Slurm or PBS Pro.
• Understanding of AI/ML workload requirements.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree