← Walmart Labs Interview Insights
I started with the data model because that felt safest, shipment, address, carrier, label, tracking event.
Start by clarifying functional and non-functional requirements, then design a layered architecture with a unified internal API, a carrier abstraction layer, and pluggable carrier adapters. Walk through the end-to-end flow for shipment creation, carrier selection, label generation, and tracking, highlighting how the abstraction handles carrier-specific differences.
Pro tip: Emphasize idempotency and asynchronous processing for label generation and tracking updates, as these are critical for reliability and scalability in a high-volume shipping system like Walmart's.
Ask about expected volume, supported carriers, required features (e.g., rate shopping, label formats, tracking webhooks), and non-functional needs like latency, availability, and consistency.
Design a clean, carrier-agnostic API with endpoints for creating shipments, selecting carriers, generating labels, and tracking. Use standard data models for requests and responses.
Introduce an interface that each carrier adapter implements, translating unified API calls into carrier-specific protocols (e.g., SOAP, REST, XML) and normalizing responses.
Walk through shipment creation (validate address, select carrier via rate shopping, generate label asynchronously, store shipment record) and tracking (poll or webhook, update status, notify).
Discuss idempotency, retries, circuit breakers, caching, async processing, and how to add new carriers without changing the core system.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.