Requirements:

• 5+ years of experience writing high-quality production code
• Experience building high-performance distributed storage or caching systems at large scale
• Strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics
• Strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.)
• Willingness to participate in on-call rotation and respond to production incidents

Nice to Haves:

• Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems
• Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration)
• Experience with data engineering at petabyte-scale
• Prior experience with Rust

What You'll Be Doing:

• Designing, building, and maintaining a distributed object storage system underpinning container images, volumes, and checkpoints at petabyte scale
• Improving cold start latency by developing caching, preloading, and peer-to-peer data sharing within datacenters
• Owning durability and cost optimization from streaming and batch replication to garbage collection of billions of objects
• Working across the stack from local disk and page cache to distributed blob storage and garbage collection
• Shaping the future of storage by pushing it closer to workloads
• Enabling P2P sharing of data across workers in datacenters to reduce ingress
• Replicating data across multiple blob storage providers
• Automating garbage collection across hundreds of petabytes of data
• Deploying colocated storage clusters to datacenters for accelerated high-throughput workloads