61. Company-Specific Notes: Google, Microsoft, Meta, Amazon & Others
Formats change, so confirm with your recruiter. These are patterns commonly reported by candidates and interviewers.
| Company | What to expect | How to prepare |
|---|---|---|
| Open-ended, large-scale problems ("design Google Docs/Maps/a global KV store"). Strong focus on scale, reasoning from first principles, and trade-offs. Interviewers are often fine with you using Google-internal-style building blocks generically (Bigtable-like, Spanner-like) but expect you to understand why they work. Written feedback goes to a hiring committee, so clear, explicit reasoning that can be written down helps. Staff+ loops may include a "googleyness & leadership" round with technical leadership questions. | Read the papers in §68 (GFS, Bigtable, Spanner, MapReduce, Chubby, Borg, Zanzibar). Practice estimation fluency. Be ready for deep follow-ups on consistency and replication. | |
| Microsoft | Often grounded in Azure and enterprise scenarios (multi-tenancy, identity, compliance, hybrid). Design rounds are practical: how you'd build it with real services, migrate to it, and operate it. Senior loops often end with an "as appropriate" (AA) interview with a senior leader who weighs the overall fit and leadership. | Be fluent in multi-tenant SaaS patterns (§17), enterprise requirements (SSO, audit, residency, eDiscovery), and migration stories (§29). Know rough Azure equivalents (Cosmos DB, Service Bus, Event Hubs, Front Door, AKS). |
| Meta | Separate "system design" and "product architecture" flavors (the latter focuses more on APIs, data models, and client-server interaction for a product feature). Fast-paced. Strong expectation that you drive. Scale examples: feeds, messaging, live video, ads. | Practice feeds (§33), chat (§34), counting (§44). Be crisp on API and data model design, and on fan-out trade-offs. |
| Amazon | Design questions are interleaved with Leadership Principles (customer obsession, ownership, dive deep, frugality). Expect "how would you operate this" and "tell me about a time" follow-ups. The bar raiser checks that you raise the team's bar. Working-backwards thinking (start from the customer) is valued. | Prepare 2–3 stories of large designs you led, with metrics. Talk about operational excellence (alarms, dashboards, COE/post-mortems), cost (frugality), and cell-based / blast-radius thinking (§20.4). |
| Netflix, Uber, Stripe, Airbnb, etc. | Problems taken from their own domain (streaming, marketplace, payments). Stripe-like companies may weight API design and correctness heavily; Netflix values context and judgment; Uber values real-time geo systems. | Do the matching casebook entry (§36, §37, §39) and read the company's engineering blog for its real architecture and vocabulary. |
For engineering manager loops (EM, Sr. EM, Director): expect a system design round that is slightly less deep on internals, plus explicit questions about team structure, delivery risk, operational maturity, and cross-team alignment. You still need to draw a credible architecture. EMs who can't are a common rejection.