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14 дней назад

Distributed Storage Engineer

250 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Distributed Storage Engineer (AI/cloud infrastructure): Building and operating the distributed object storage system behind Modal's container images, volumes, and checkpoints across hundreds of petabytes, multiple cloud object stores, CDNs, and datacenters with an accent on caching, replication, peer-to-peer sharing, and durability. Focus on designing high-performance storage paths, automating large-scale garbage collection and migration, and reducing latency and network ingress for production workloads.

Location: Stockholm, Sweden or New York, United States

Salary: $250K–$300K annually

Company

hirify.global provides serverless AI infrastructure with instant GPU access, fast container starts, native storage, production-ready sandboxes, and low-latency model serving.

What you will do

  • Design, build, and maintain the distributed object storage system supporting container images, volumes, and checkpoints.
  • Develop caching, preloading, and peer-to-peer data-sharing layers across workers and datacenters.
  • Replicate data across multiple cloud object storage providers and a CDN.
  • Own durability, cost efficiency, and high-throughput read/write paths at hundreds-of-petabytes scale.
  • Automate garbage collection, data migration, and storage operations across billions of objects.
  • Deploy colocated storage clusters to accelerate customer workloads and participate in the on-call rotation.

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 knowledge of S3 or similar object storage, CDNs, consistency, throughput, and cost characteristics.
  • Strong knowledge 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.
  • Willingness to participate in on-call rotations and respond to production incidents.

Nice to have

  • Prior experience with Rust.

Culture & Benefits

  • Work on infrastructure used by category-defining AI and technology companies.
  • Collaborate with open-source creators, academic researchers, engineering leaders, and international olympiad medalists.
  • Build storage infrastructure spanning multiple cloud providers, CDNs, local NVMe, and datacenters.

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