← Google Interview Insights

Google·Software Engineer·Onsite - System Design / Architecture·Senior

Senior
Jun 2026

Summary

Interviewed for an engineering manager role at Google. One question that stuck with me was a distributed systems edge case disguised as a product question. Short session but mentally taxing.

Questions Asked (1)

Q1

How would you handle Gmail accounts when two users try to register the same username from different countries at the same time?

System DesignTechnical Trade-offsAdaptability & Ambiguity
Author's notes

This felt like a product question at first and I went down the wrong path talking about UX for username conflicts.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Clarify that Gmail usernames are globally unique, so the core challenge is ensuring atomicity and consistency across distributed data centers. Propose a design that uses a globally consistent, low-latency service (e.g., a distributed lock or consensus-based registry) to serialize username registrations, with fallback strategies for high availability and conflict resolution.

Pro tip: Acknowledge the CAP theorem trade-off: you can't have perfect consistency and availability during a network partition, so discuss how you'd prioritize consistency for username uniqueness while minimizing user impact (e.g., short-lived locks, retries with backoff).

1. Clarify requirements and constraints

Confirm that usernames must be globally unique and that simultaneous registrations from different regions must be handled without conflicts. Discuss expected scale, latency requirements, and consistency needs.

2. Propose a high-level architecture

Suggest a centralized or globally distributed service (e.g., Google Spanner, Chubby, or a custom Paxos-based system) that provides linearizable operations for username reservation. Mention the need for a unique index and atomic compare-and-set.

3. Detail the registration flow

Describe how a user request is routed to the nearest data center, which then forwards the username reservation to the global service. The service attempts to insert the username; if it already exists, it returns a conflict error.

4. Address failure and latency scenarios

Explain how to handle network partitions, service outages, and high latency: use timeouts, retries with exponential backoff, and possibly a two-phase commit or lease-based approach to avoid deadlocks.

5. Discuss trade-offs and alternatives

Compare strong consistency (e.g., Spanner) vs. eventual consistency with conflict resolution (e.g., last-write-wins with timestamps). Highlight why strong consistency is preferable for username uniqueness.

Key Points to Mention

  • Global uniqueness requires a single source of truth or a consensus protocol (e.g., Paxos, Raft).
  • Use of distributed locks or leases with timeouts to prevent deadlocks and ensure progress.
  • Idempotency and retry logic to handle transient failures without creating duplicates.
  • Latency considerations: placing the coordination service close to users or using regional caches with invalidation.
  • CAP theorem trade-offs: prioritizing consistency over availability during partitions for username registration.
  • Monitoring and alerting for conflict rates and latency spikes to ensure system health.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.