We use cookies for site analytics. Accept to help us understand how the site is used. See our Privacy Policy for details.
Practice Google interview questions covering distributed systems, the infrastructure Google's papers introduced, data processing, and the trade-offs Google interviewers probe.
Google typically runs a recruiter screen, one or two phone/video coding interviews, then an onsite loop of four to five interviews: two or three coding, one system design (for mid-level and above), and one Googleyness and leadership interview. A hiring committee reviews the packet rather than the interviewers deciding directly, which is why feedback quality matters more at Google than a single interviewer's impression.
For coding: graphs, trees, dynamic programming, and complexity analysis, with clean code and stated trade-offs rather than a memorized optimal solution. For system design: capacity estimation, sharding, replication and consistency, since Google's own infrastructure is the reference point. For Googleyness: examples of collaboration, dealing with ambiguity, and comfort with feedback.
Deeper than most. Google's published work - MapReduce, GFS, Bigtable, Spanner, Chubby, Borg and Dremel - is the vocabulary its interviewers think in, so understanding why Spanner needs TrueTime, why Bigtable row keys hot-spot, or what a MapReduce combiner saves on the shuffle is directly useful. You are not expected to recite the papers, but you are expected to reason about the same trade-offs.
A behavioral round assessing comfort with ambiguity, bias to action, collaboration and intellectual humility. Prepare STAR stories about times you changed your mind given new data, worked across teams without authority, and handled a project that did not go well. Google weights how you reason about the situation as heavily as the outcome.
Interviewers look for requirements gathering before architecture, explicit capacity estimation, and named trade-offs rather than a single 'correct' diagram. Strong candidates state their assumptions, size the system with real numbers, choose between consistency and availability deliberately, and identify the bottleneck their design creates. Jumping straight to a diagram is the most common way strong engineers score poorly.
Typically six to eight weeks, longer than most FAANG companies, because the hiring committee and team-matching stages happen after the interviews. The loop itself is usually one day, but committee review adds one to two weeks and team matching can add several more. A delay after a strong loop is normally team matching, not a rejection.