Software Engineer, Infrastructure
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 103d ago
The date the source published, not the day we noticed it (2026-06-04). Last seen at its source 2h ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $159k–225k/yr
Middle 50% of 2161 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 2h ago
The listing
Software Engineer, Infrastructure
At Rerun, we're building a new multimodal data stack for Physical l AI. Large parts of the physical-world economy will be transformed by these technologies, and we're building the data infrastructure and tools that enable it to happen.
Rerun's open source project is already loved by some of the best teams in the world. Our commercial product, Rerun Hub, is a catalog and storage engine that already handles petabytes of robot training data for early customers, and we're now ready to onboard more teams. Read our latest post on what we're building: A new data layer for robot learning.
You'll join a small team building Rerun Hub, and you'll own the control plane that makes it run, including the Kubernetes operator that automates deploying Hub into customer environments.
What you'll work on
Own our Kubernetes operator: the control plane that provisions, configures, and manages Rerun Hub deployments across our own cloud infrastructure and inside customer accounts. This is real software engineering: CRDs, controllers, reconciliation, APIs, tests, releases.
Deep customer onboarding: When a customer brings new infrastructure requirements, you extend our control plane to accommodate that. Your reconcilers will make Rerun Hub work end-to-end from networking, IAM, storage to cluster configuration.
Production reliability and scale: Observability, CI/CD, incident response, and the deployment experience from local dev through staging to prod.
Follow-the-sun on-call with the rest of the team.
We'd love it if you have
A strong software engineering background. You think of infrastructure as software you build, not just systems you operate.
Deep Kubernetes experience, specifically with the operator pattern: you've designed CRDs, written controllers (controller-runtime / kubebuilder / operator-sdk), and shipped them to production. Earlier-career engineers with strong Go and distributed-systems/kubernetes fundamentals plus genuine interest in this work are equally welcome; we're hiring across levels.
Proficiency in Go, and ability to read and contribute to an asynchronous Rust codebase (or eagerness to learn; much of our stack is Rust).
Solid experience with AWS, infrastructure-as-code (ideally Terraform/OpenTofu), and production-grade observability.
Comfort being customer-adjacent: going into a customer's cloud account and doing the deep plumbing to onboard them.
Great communication in English, an ownership mindset, and a curious, helpful attitude.
Bonus
Experience with high-throughput, time-series, or analytical database systems
Background in data-intensive infrastructure
Interest in robotics, AR/VR, ML, or simulation
How we work at Rerun
We're a remote company headquartered in Stockholm, Sweden, with a growing hub in San Francisco.
We meet up in person for a week roughly once a quarter.
We're spread across European and US time zones. Rather than one fixed window, each team keeps a few hours of daily overlap that fits where its members are, and every role posting says what that looks like.
We've put together an uncommonly talented tech team, value agency and helpfulness highly, and expect everyone to take broad responsibility for what they build.
We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job.
Parental leave: 12 weeks full pay for every parent, alongside your local statutory leave entitlements.