Run AI agents and containers safely, anywhere. Docker gives builders trusted sandboxes, governance, and a secure supply chain for modern software. Backed by Greylock, Insight and Lightspeed.
About the role
Design and build the systems that deploy, release, and operate Docker's agentic platform for enterprise customers, in Go and on Kubernetes. Make the platform run consistently across cloud providers and environments, with the security, identity, and network boundaries enterprises require. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Kubernetes beyond deployment. You have written controllers or operators, understand reconciliation and CRDs, and know why declarative beats imperative at fleet scale
- Deep in at least one major cloud. Hands-on with compute, networking, identity, and managed services, and able to pick up a second cloud fast
- Production ownership. On-call, incident response, SLOs, post-mortems. You run what you build
- Distributed systems design. Fault tolerance, consistency, observability, idempotent reconciliation
- Go. Professional proficiency. Docker's backend and all of this team's code is Go
- 10+ years of professional software engineering in infrastructure, platform, or cloud services, with the judgment to set direction for others
More about this role
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.
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As agents take on bigger jobs, the infrastructure around them matters more. Docker's answer is to give every agent a strong boundary, make its environment and authority reproducible, and let the work run where it makes sense, from a developer's laptop to the cloud. The Docker AI Substrate team brings that foundation to the enterprise: the largest companies in the world, running agents at scale, with the security,...
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