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# Software Engineer, Storage Systems (Agent Infra)

- **Company:** Baseten, Inc
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Amazon S3, C++ (Programming Language), Software Debugging, Linux, Distributed Data Store, Open Source Technology, System Programming, Caching, Block Storage, Object Store
- **Published:** October 28, 2026
- **Apply:** https://startup.jobs/software-engineer-storage-systems-agent-infra-baseten-10591294

## About the Role

* Strong systems programming background in Go, Rust, and/or C/C++, with comfort reading kernel code
 * Deep understanding of Linux filesystem and storage internals: VFS, page cache, dentry and inode caches, FUSE, the block I/O stack, fsync semantics, and crash consistency
 * Hands-on experience building distributed storage systems, content-addressable storage, or large-scale caching infrastructure
 * Experience profiling I/O, memory, and RPC bottlenecks and optimizing tail latency in production
 * Ability to debug correctness bugs that only show up under concurrency or partial failure
 * You move fast and like owning a problem end to end on a small team

NICE TO HAVE

 * Experience with a distributed filesystem or object store such as JuiceFS, CephFS, or S3-compatible storage, or contributions to those projects
 * Knowledge of consensus and replication protocols (Raft, leader leases, quorum reads)
 * Experience with snapshot, clone, and copy-on-write filesystem features
 * Experience operating multi-tenant storage with hard isolation requirements
 * Familiarity with Linux performance tooling such as eBPF, io_uring, perf, ftrace, and blktrace

## Description

Storage decides how fast agent sandboxes start and how safely they share data. Agents need a filesystem that thousands of sandboxes mount at the same time, with strict isolation and the consistency agents need. Agent context is mostly small files, so the access patterns look very different from storage built for large files., * Design and implement core Agent Drive features: metadata replication, volume placement, garbage collection, and FUSE client behavior

 * Solve multi-attach correctness: cache coherency across many FUSE mounts of the same drive, dentry and inode invalidation, write ordering, and crash consistency
 * Optimize tail latency on read and write paths, including page cache strategy, writeback, prefetch, and metadata RPC batching
 * Build tenant isolation into the storage layer, including quota enforcement, blast-radius containment, and noisy-neighbor mitigation
 * Own the storage side of sandbox startup and resume performance
 * Build durable block storage for sandboxes alongside other Baseten storage teams
 * Build observability into every layer, drive storage incidents end to end, and turn each one into a permanent fix
 * Contribute upstream to the open-source storage projects we build on