Also known as: FAANG, MAANG, Big Tech, product company, hyperscaler
Big Tech and product companies Interview Guide
Large product companies running a standardised, centrally calibrated loop: an algorithmic screen, one or two design rounds scaled to level, and a behavioural round scored against published principles. Use this guide to map the interview rounds, scoring signals, common traps, and high-yield questions for FAANG, MAANG, Big Tech roles.
How the loop is evaluated & calibrated
The defining feature is calibration rather than difficulty. Every interviewer works from the same rubric and writes evidence-based feedback, so the panel is trying to place you at a level rather than decide whether you can do the job. That means the coding round is genuinely algorithmic and time-boxed, the design round widens in scope as the level rises, and a strong answer with no stated trade-offs scores worse than a middling answer that names what it gave up.
Scored on top of a correct answer
•Signal at a level: the same design question is scored on blast radius, so a staff candidate is expected to talk about organisational and migration cost, not just the architecture
•Structured communication under time pressure, because the interviewer is writing down evidence and cannot credit what you did not say out loud
•Behavioural answers that survive a follow-up on your specific contribution rather than the team's
Where candidates lose points
•Optimising the algorithm and never stating the complexity or the constraint that made it necessary
•Designing for a scale nobody asked about, which reads as pattern-matching rather than judgement
•Behavioural stories with no measurable outcome and no disagreement in them
High-yield questions for Big Tech and product companies
Treat it as a confirmed breach until proven otherwise: preserve logs, scope who saw what, and start the disclosure clock alongside the investigation. The cause is almost always tenant scoping living in application code, where one forgotten filter leaks everything - so move enforcement below the code, to row-level security.
The state is unchanged - the minimum cost to transform the first i characters of one string into the first j of the other - because the subproblem structure does not depend on what operations cost. Only the recurrence changes, adding a per-operation weight instead of a uniform 1, and the base cases become multiples of the insert and delete costs rather than i and j.
Every distinct combination of label values is a separate time series with its own index entry, so an unbounded label multiplies series count by the number of users rather than adding one dimension. Metrics are the wrong tool for per-entity questions: keep labels bounded, move per-user debugging to exemplar-linked traces, and guard against the next unbounded label.
A global limit protects the service from overload but says nothing about how capacity is divided, so one tenant can consume most of it while staying under the ceiling. Fairness needs per-tenant accounting: a token bucket for the steady-state contract, a concurrency limit so expensive requests cannot hog workers, and round-robin queueing so a burst queues behind itself.
Replication propagates the deletion, so recovery depends on point-in-time restore from a base backup plus the write-ahead log, and the hard part is not the restore but extracting one tenant's rows from a shared store while the rest of the system keeps serving traffic.
A Kafka-style consumer down for an hour has missed an offset range, not necessarily lost data. If retention still covers the gap, it resumes from the committed offset; catch-up needs surplus throughput, idempotent handlers, event-time logic and a plan for retention expiry. Use this event driven answer to show the decision, trade-off, and evidence rather than a memorised definition.
The damage is fixed before the leak by three earlier decisions: whether the token can be revoked and how fast that takes effect, how narrowly it was scoped, and whether your audit trail can attribute actions to that specific credential rather than only to the tenant.
Name the clock and what it was costing, say which facts you had and which you chose not to wait for, classify the call as reversible or not, act at the level you were authorised to and say so, and record the reasoning at the time so it can be judged on what you knew.