Member of Technical Staff - Storage
Modal Labs, Inc. operates Modal, a serverless cloud and AI infrastructure platform for developers running inference, training, batch processing, and isolated sandboxes.
Maintainer signals as of 9/25/2026
Funding history
About Modal
Modal provides code-first, elastic CPU/GPU compute infrastructure for AI workloads, including model inference, fine-tuning and training, large-scale batch jobs, and secure ephemeral execution environments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and maintain distributed object-storage systems supporting container images, volumes, and checkpoints. You will develop caching, preloading, peer-to-peer sharing, replication, garbage collection, and storage clusters. You will help manage durability, cost, and production incidents at petabyte scale.
Requirements
- 5+ years of experience writing high-quality production code
- Experience building high-performance distributed storage or caching systems at large scale
- Deep familiarity with cloud object storage, CDNs, and their consistency, throughput, and cost characteristics
- Strong knowledge of Linux kernel, file systems, page cache, and containers
- Willingness to participate in an on-call rotation
Responsibilities
- Design, build, and maintain high-performance distributed storage systems
- Develop caching, preloading, and peer-to-peer layers
- Manage replication, durability, and cost at petabyte scale
- Build garbage collection for billions of objects
- Participate in the on-call rotation and respond to production incidents