Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls.
From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered.
As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
The Docker Sandboxes team is building the runtime that lets AI coding agents run safely on a developer's machine: disposable, isolated microVM sandboxes that each get their own Docker daemon, filesystem, and network.
This is the core of Docker's sbx product: developers can give an agent the autonomy it needs to get real work done without it ever touching the host, and tear the whole environment down when it's finished.
The successful candidate is a technical, product-minded engineer with deep experience building secure, isolated runtime environments (sandboxes, containers, or VMs) and a track record of shipping and owning that kind of infrastructure in production at scale.
They think naturally.