Description

You will design, build, and operate internal tooling for large-scale AI training and inference platforms on cloud infrastructure.

This role is hybrid.

Responsibilities

• Conduct performance characterization and analysis on large multi-GPU and multi-node clusters.
• Improve service lifecycles from inception through deployment, operation, and refinement.
• Support pre-launch phases via system design consulting, tool development, and capacity management.
• Monitor availability, latency, and overall system health for live services.
• Scale systems sustainably using automation and drive reliability improvements.

Required Skills

• 6+ years of professional experience in infrastructure automation and distributed systems design.
• Developed tools for large-scale private or public cloud systems in production.
• Proficiency in Python, Go, C/C++, or Java.
• In-depth knowledge of Linux, Networking, Storage, and Containers.
• Experience with Public Cloud, Infrastructure as Code (IaC), and Terraform.
• Ability to balance independent project initiation with effective collaboration.

Preferred Skills

• Experience with large-scale AI/ML infrastructure platforms.

Key Skills

Education

Any Graduate