Docker's AI Tools & Security team is building the foundation for the next generation of secure, developer-friendly AI infrastructure. Their flagship product, the MCP Gateway, aims to empower developers to connect, observe, and secure AI agents and tools across the entire lifecycle—from prototype to production, defining how developers safely harness the power of the Model Context Protocol (MCP) in real-world environments.
Requirements
- 8+ years of backend engineering experience with production-grade systems
- Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design
- Experience building secure, high-throughput services
- Proficiency in modern programming languages (we primarily use Go)
- Experience using cloud infrastructure (AWS, Azure, GCP)
- 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
- Define the technical solution for a new product
- Help shape the product with peers in Product and Design
- Mentor other technical team members
- Be the technical point of contact for the team
- Work with Product and Design on defining the product
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
