Docker's AI Tools & Security team is building the foundation for the next generation of secure, developer-friendly AI infrastructure. The flagship product, the MCP Gateway, empowers developers to connect, observe, and secure AI agents and tools across the entire lifecycle—from prototype to production. The company is defining how developers safely harness the power of the Model Context Protocol (MCP) in real-world environments.
Requirements
- 4+ years of backend engineering experience with production-grade systems
- Experience building secure, high-throughput services
- Proficiency in modern programming languages (we primarily use Go)
- Experience with Kubernetes, Docker, and microservices architecture
- Prior experience with OpenAI, Anthropic, or similar LLM APIs, and the MCP specification
Responsibilities
- Lead the technical direction of the Gateway and related services
- Collaborating closely with Product, Design, and Security to deliver elegant frameworks and APIs that developers love to use
- Ship fast, iterate constantly, and help shape the future of secure agent-based development
- Contribute to defining the technical approach for new product initiatives
- Collaborate closely with Product and Design to shape features and user experience
- Support and guide teammates through code reviews and technical discussions
- Serve as a reliable technical voice within the team and help ensure strong engineering standards
Other
- A strong product mindset—you're excited about building developer-facing tools
- Strong grasp of software engineering best practices (code review, source control, CI/CD, testing)
- Ownership mentality with a bias for shipping, learning, and iterating
- Comfortable working with autonomy across distributed, remote teams.
- Strong written and verbal English communication skills
