Start by clarifying requirements and scope, then design the system in layers: data model, APIs, and services for posting, discovery, and application. Focus on scalability, relevance, and privacy, and discuss trade-offs for each component.
Pro tip: Emphasize how you would leverage Facebook's social graph and existing infrastructure (e.g., News Feed ranking, Graph API) to differentiate the jobs marketplace and drive engagement.
Ask questions to understand functional and non-functional requirements, such as user roles (employers, job seekers), scale, privacy, and integration with existing Facebook features.
Outline the main components: job posting service, search/discovery service, application service, and data stores. Sketch how they interact and scale.
Define core entities (User, Job, Application, Company) and their relationships. Discuss storage choices (SQL vs NoSQL) and indexing for efficient queries.
Explain how jobs are surfaced to users: search, recommendations, and feed integration. Discuss ranking signals (relevance, social connections, user behavior) and personalization.
Detail the apply process, including resume submission, notifications, and status tracking. Address scalability, reliability, and privacy considerations.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.