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Google·Software Engineer·Technical Phone Screen·Senior

SeniorPrefer not to say
May 2026

Summary

Google system design screen, focused on web performance. Pretty straightforward topic but the breadth they expected caught me off guard a bit.

Questions Asked (1)

Q1

What are the major factors you would consider to improve response time and latency for a website?

System DesignTechnical Trade-offs
Author's notes

I started with the obvious stuff like caching and CDNs and the interviewer just kind of waited.

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AI HintsAI Generated

Suggested Approach

Structure your answer by first clarifying the scope (e.g., frontend, backend, network) and then systematically covering the request lifecycle from client to server and back. Emphasize trade-offs and prioritization based on metrics and user impact, as expected in a system design context.

Pro tip: Demonstrate maturity by discussing how you would measure and monitor latency (e.g., percentiles, RUM) and iterate on optimizations, rather than just listing techniques. This shows a data-driven approach and awareness of real-world constraints.

1. Clarify Scope and Goals

Ask clarifying questions to understand the context: is this for a new or existing site? What are the current metrics and user expectations? This ensures your answer is targeted and relevant.

2. Map the Request Lifecycle

Break down the journey of a request: DNS, TCP/TLS, server processing, database, and rendering. Identifying each stage helps systematically address latency sources.

3. Identify Optimization Levers

For each stage, list potential improvements such as caching, CDNs, code optimization, and database indexing. Prioritize based on impact and effort.

4. Discuss Trade-offs and Constraints

Explain how choices like caching introduce complexity or consistency issues. Show awareness of balancing latency with cost, scalability, and maintainability.

5. Measure and Iterate

Emphasize the importance of monitoring tools (e.g., Lighthouse, tracing) to validate improvements and guide further optimizations.

Key Points to Mention

  • Caching strategies (browser, CDN, server-side, database)
  • Content Delivery Networks (CDNs) for static assets
  • Frontend optimizations (minification, lazy loading, image optimization)
  • Backend optimizations (database indexing, query optimization, connection pooling)
  • Network protocols (HTTP/2, HTTP/3, TLS optimization)
  • Monitoring and metrics (percentiles, RUM, synthetic monitoring)

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