About the role
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 and will train up the right person. 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.
