🛠 Tech Stack

💼 About This Role

You'll build and operate storage systems for large-scale AI/ML training and inference workloads. You'll help scale distributed storage across bare-metal infrastructure, ensuring high throughput and low latency. This role offers a chance to work with cutting-edge AI infrastructure at a well-funded company.

🎯 What You'll Do

• Operate and scale distributed storage systems (VAST, Ceph).
• Optimize storage performance for high-throughput AI workloads.
• Build and maintain automation for provisioning and monitoring.
• Troubleshoot complex storage and data path issues.

📋 Requirements

• 5+ years of experience in infrastructure or systems engineering.
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph).
• Strong Linux systems experience in production.
• Proficiency in Python for automation.

✨ Nice to Have

• Experience with VAST storage systems in production.
• Familiarity with AI/ML or HPC workloads.
• Experience with RDMA, GPU Direct Storage.

🎁 Benefits & Perks

• 🏥 Comprehensive medical, dental, and vision coverage
• 💰 Retirement and financial wellness support
• 🏢 Equity component
• 🌴 Discretionary bonus
• 🌍 Remote/hybrid flexibility

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min