8 дней назад
Senior Distributed Storage Engineer
250 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Distributed Storage Engineer (AI infrastructure): Building and operating the distributed object storage system behind Modal's serverless platform across hundreds of petabytes, multiple cloud object stores, CDNs, local NVMe, and datacenters with an accent on caching, replication, and high-throughput data paths. Focus on designing peer-to-peer sharing, multi-cloud consistency, large-scale garbage collection, and low-latency storage for production workloads.
Location: On-site in San Francisco or New York, United States
Salary: $250,000–$300,000 per year
Company
is building an AI infrastructure layer and a serverless platform for high-performance workloads.
What you will do
- Design, build, and maintain the distributed object storage system powering container images, volumes, and checkpoints.
- Develop caching, preloading, and peer-to-peer layers across local NVMe, worker fleets, and datacenters.
- Build replication pipelines across multiple cloud object storage providers and a CDN.
- Automate garbage collection, data migration, and durability workflows across hundreds of petabytes of data.
- Optimize high-throughput read and write paths while reducing object-store latency and network ingress.
- Participate in the on-call rotation and respond to production incidents.
Requirements
- 5+ years of experience writing high-quality production code.
- Experience building and operating high-performance distributed storage or caching systems at large scale.
- Deep knowledge of cloud object storage, CDNs, consistency, throughput, and cost characteristics.
- Strong understanding of Linux kernel foundations, file systems, page cache, and containers.
- Experience with replication, content addressing, consistency models, multi-region or multi-cloud systems, and petabyte-scale data engineering.
- Prior experience with Rust and willingness to join the on-call rotation.
Nice to have
- Experience operating petabyte-scale datasets, large-scale garbage collection, or data migration systems.
- Experience deploying colocated storage clusters in datacenters.
Culture & Benefits
- On-site engineering work in San Francisco or New York.
- Work on infrastructure supporting hundreds of petabytes of data and high-throughput customer workloads.
- Collaboration with engineers, researchers, open-source creators, and experienced technical leaders.
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