← Confluent Interview Insights
I went straight to address generation and talked about random vs pooled addresses, which felt safe.
Start by clarifying requirements (scale, retention, anonymity, abuse prevention) and then walk through the core components: address generation, mail ingestion, storage, TTL expiry, and real-time delivery. Emphasize trade-offs and how you would leverage Confluent's streaming platform for scalability and real-time processing.
Pro tip: Highlight the importance of abuse prevention and data retention policies, as disposable email services are often targets for spam and illegal activities. Mention how you would use Kafka for reliable mail ingestion and event-driven TTL expiry.
Ask about expected scale (emails per second, number of active addresses), retention period, anonymity requirements, and abuse prevention needs. This sets the stage for design decisions.
Propose a scheme for generating unique, unpredictable addresses (e.g., UUID or hash) and describe how incoming emails are received (e.g., via SMTP server or API) and published to a Kafka topic for processing.
Choose a storage solution (e.g., NoSQL like Cassandra or Redis with TTL) for temporary email storage. Explain how TTL is enforced, either via database TTL features or a scheduled job that deletes expired emails.
Describe how the frontend receives new emails in real-time, such as via WebSockets or Server-Sent Events, and how the backend pushes updates using Kafka consumers and a pub/sub mechanism.
Discuss partitioning, replication, and fault tolerance. Compare trade-offs between different storage options, TTL enforcement methods, and real-time delivery mechanisms.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.