Docusign is looking to enhance its Cloud Engineering MSF Team by developing and improving the MCP Server for Internal Expose Abstraction in storage libraries. The goal is to provide detailed information about internal gRPC and HTTP endpoints for the storage platform, enabling AI to suggest correct API usage, generate code snippets, and assist with integration, thereby improving the developer experience and efficiency.
Requirements
- Experience with Database or Storage
Responsibilities
- Develop and enhance the MCP Server to expose internal Azure Storage APIs
- Document gRPC and HTTP endpoints, including schemas, request/response formats, and storage-specific details
- Automate generation of API metadata (e.g., Swagger, Proto files) for Azure Storage services
- Integrate with AI systems (like Context 7) to enable API-aware code suggestions and snippets
- Provide example client code for correct Azure Storage API usage
- Collaborate with storage teams to ensure accurate, versioned, and consistent API representation
- Improve developer experience through clear, discoverable Azure Storage documentation
Other
- Currently pursuing a Bachelor’s degree with a focus in Computer Science
- Expected graduation in December 2026 or May/June 2027
- Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
- Work Authorization Notice: Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
- Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work.
