Member of Technical Staff - Storage (Stockholm)

Stockholm · 5+ years experience · Full-time · Posted Oct 14, 2026

At a glance

AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal.

Design, build, and maintain the novel, high-performance systems that make up our serverless platform.
Work on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal.
Make cold starts feel local when data is hundreds of milliseconds away by designing caching, preloading, and peer-to-peer layers.
Own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collection over billions of objects.
Work across the stack, from local disk and page cache to distributed blob storage and garbage collection.
Help shape what storage becomes next as we push storage closer to workloads.
Participate in the on-call rotation and respond to production incidents.

5+ years of experience writing high-quality production code
Experience building high-performance distributed storage or caching systems at a 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 step into the thick of it with our on-call rotation and respond to production incidents