Staff Storage Engineer - Distributed Systems (Stockholm)

Modal Labs

Stockholms kommun

On-site

SEK 1,500,000 - 1,900,000

Full time

10 days ago

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Job summary

Modal Labs in Sweden is seeking strong engineers to design, build, and maintain our high-performance, serverless storage platform. You will influence the distributed object storage that underpins container images, volumes, and checkpoints across datacenters, balancing durability, latency, and cost at petabyte scale.

You will own end-to-end storage features, from local disk caching to cloud object storage interactions, and collaborate across teams to push storage closer to workloads while

Qualifications

  • 5+ years of production-grade code experience.
  • Proven work on high-performance distributed storage or caching at scale.
  • Strong cloud skills with object storage, CDNs, and cost/throughput considerations.
  • Solid knowledge of Linux kernel, file systems, page cache, and containers.
  • Willingness to participate in on-call rotation and respond to incidents.

Responsibilities

  • Design, build, and maintain Modal's high-performance serverless storage system.
  • Own durability, cost, and performance for petabyte-scale storage across clouds.
  • Develop caching, preloading, and peer-to-peer layers to reduce latency.
  • Implement garbage collection and replication across datacenters.
  • Collaborate across the stack from local disk to distributed blob storage.

Skills

Production code
Distributed storage
Cloud/storage
Linux kernel
On-call readiness
Rust

Job description

Modal Labs in Sweden is seeking strong engineers to design, build, and maintain our high-performance, serverless storage platform. You will influence the distributed object storage that underpins container images, volumes, and checkpoints across datacenters, balancing durability, latency, and cost at petabyte scale.

You will own end-to-end storage features, from local disk caching to cloud object storage interactions, and collaborate across teams to push storage closer to workloads while

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