AI Model Serving Engineer
An AI Model Serving Engineer specializes in deploying, scaling, and maintaining machine learning models in production environments…
Skill Guide
API Design & Gateway Management is the discipline of architecting, securing, documenting, and governing the interfaces through which software systems communicate and expose functionality, using a centralized gateway to enforce policies and provide a unified entry point.
Scenario
Design and document a RESTful API for a public library system to manage books, authors, and patrons. The API must support basic CRUD operations and be usable by a potential mobile app developer.
Scenario
You have three microservices: User, Product, and Order. Expose a unified API to a frontend via a gateway. The gateway must handle authentication (JWT), route requests, and implement rate limiting for the Product search endpoint.
Scenario
As the lead API architect for a fintech company, design a comprehensive API platform. This includes defining API standards, creating a developer portal for internal and external consumers, implementing a gateway with traffic shadowing, and establishing a review and deprecation process.
Postman is essential for collaborative API development and testing. Kong and AWS API Gateway are industry-standard, scalable solutions for runtime traffic management, security, and observability. Swagger/OpenAPI is the specification for design-first documentation, while Stoplight Studio is a powerful design tool that enforces style guides.
The Richardson Maturity Model helps classify and improve REST API designs. API-First Design prioritizes the API contract as a first-class artifact, enabling parallel development. Applying DDD principles ensures APIs are aligned with business domains and bounded contexts, leading to more stable and meaningful interfaces.
Answer Strategy
The interviewer is testing systematic problem-solving, knowledge of gateway instrumentation, and ability to apply non-breaking fixes. The answer should follow a diagnostic framework: 1) Check gateway metrics (latency, error rates) and distributed tracing to isolate the bottleneck. 2) Use gateway features like rate limiting to protect the backend, response caching to reduce load, and request queuing to smooth traffic spikes. 3) Implement traffic shadowing to test a fix in production safely. Sample Answer: 'First, I'd analyze gateway dashboards and tracing data to pinpoint if the issue is in a specific upstream service or the gateway itself. To mitigate immediately, I'd deploy a stricter rate-limiting policy and enable caching for read-heavy endpoints using the gateway's native plugins. For a safer fix, I'd use traffic shadowing to replay production traffic to a canary version of the backend before promoting it.'
Answer Strategy
This tests strategic thinking, lifecycle management, and technical execution. The core competency is managing change and consumer expectations. The answer should cover: 1) The versioning strategy (URI vs. header) and rationale. 2) A deprecation policy and communication plan. 3) Gateway configuration for routing. Sample Answer: 'I'd use URI versioning (e.g., /v2/resource) for major breaking changes due to its clarity. The gateway would be configured to route /v1/* traffic to the legacy service and /v2/* to the new one. For minor, additive changes, I'd use header-based versioning within the same major version. The plan includes a 6-month deprecation timeline, documented in the developer portal and communicated via deprecation headers and direct outreach to key consumers.'
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