Staff Software Engineer, AI Gateway
at Docker
San Francisco, CA or Seattle, WA, remote, staff, full time, USD 1,70,350–2,75,550 / year, 8+ years
posted 15 Oct 2026
- Vector databases
- OPA
- Rust
- CrewAI
- LangChain
- Go
- Secret management
- OpenTelemetry
- API design
- AutoGPT
- Microservices
- OpenAI API
- OAuth 2.1
- Anthropic API
- Cloud-native infrastructure
- Docker
- Distributed systems
- RAG
- Cloud IAM
- Kubernetes
About the role
Remote: yes Posted: 2026-10-15
ABOUT DOCKER
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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THE ROLE
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development.
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What you would do
- Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x
- Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production
- Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership
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