Full-Time
Posted on 9/16/2025
Containerization platform for building apps
$240k - $330k/yr
No H1B Sponsorship
Remote in USA
Remote
Remote-first culture; offices in Seattle and Paris.
US Top Secret Clearance Required
Docker builds, shares, and runs applications in isolated containers by packaging an application and its dependencies into a container image that runs consistently across different systems. It provides tools like Docker Desktop for local development, Docker Hub as a container image repository, and a command-line interface to build, run, and manage containers. It differentiates itself with a large ecosystem, an official image repository, and integrated tools that support an end-to-end container workflow. The company aims to help developers consistently build, share, and run software across any environment, using a freemium model with subscription tiers and additional services.
Company Size
1,001-5,000
Company Stage
Series C
Total Funding
$498M
Headquarters
Palo Alto, California
Founded
2013
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Flexible Work Hours
Home Office Stipend
Parental Leave
Phone/Internet Stipend
Unlimited Paid Time Off
Professional Development Budget
Company Equity
Health Insurance
NanoClaw creator Gavriel Cohen has struck a deal with Docker to integrate Docker Sandboxes into his open-source AI agent-building tool, capping a whirlwind six weeks since the project's launch. Cohen built NanoClaw in a weekend as a secure alternative to OpenClaw, using just 500 lines of code compared to OpenClaw's 800,000. The project exploded after AI researcher Andrej Karpathy praised it on X, garnering 22,000 GitHub stars and 4,600 forks. Cohen has since shut down his AI marketing startup, which was on track for $1 million in annual recurring revenue, to launch NanoCo around the project. The company plans to offer commercial services including forward deployed engineers to help companies build secure AI agents, though specific monetisation plans remain under development. VCs are already calling, Cohen says.
NanoClaw, an open source AI agent platform, now runs inside Docker Sandboxes through a partnership with Docker, enhancing security for AI agents operating autonomously. Docker Sandboxes are micro VMs that provide stronger isolation than containers by running with their own kernel, creating two layers of protection. The integration addresses security concerns arising from AI agents' unpredictable behaviour and need to modify systems. Each agent runs in its own container within a micro VM, preventing access to host machines even if the agent hallucinates or misbehaves. Docker Sandboxes are currently supported on macOS and Windows, with Linux support coming soon. Docker COO Mark Cavage described the technology as enabling developers to "put YOLO in a box", allowing AI agents to run autonomously for extended periods whilst maintaining security boundaries.
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