Interview question banks
Real questions and structured answers for 12 top interview surfaces. Organized by company, by role, and by round type — because every interview is actually three things at once.
Honest framing: These question banks are for prep. They’re what to study. Reading them once won’t make you pass — but knowing what’s likely to come up before it does is the difference between candidates who freeze and candidates who don’t. For the live round itself, PhantomCode AI is the real-time copilot.
Each top-tier US tech company runs its own interview ritual. The same engineer can pass at one and fail at another — not because skill changes, but because the format does. These pages cover the structure, the favored question types, and the real follow-ups.
Hiring committee + structured loops. L4/L5/L6 progression. DSA-heavy coding, Googleyness behavioral.
Leadership Principles in every round. Bar Raiser as the override. STAR-format behavioral mandatory.
Back-to-back coding pace. 4 problems in 90 minutes. System design + behavioral layered on top.
Mixed coding + behavioral per round. Less standardized — interviewer style varies by team.
Deep technical specialization per team. 6+ rounds. Less formulaic than peers.
Different roles, different rubrics. A senior software engineer and a senior data scientist both interview at L5 — but the questions, the time pressure, and the rubric are entirely different.
DSA + system design + behavioral. The default interview track for L3 through L7+ at most companies.
SQL, ML system design, statistics, case studies. The hybrid technical/business profile.
People management, behavioral leadership, system design at scale, team trade-offs.
Each round type has its own pattern recognition. Coding rounds reward fast pattern matching; system design rewards trade-off articulation; behavioral rewards story structure. Different muscles.
STAR method, leadership stories, conflict resolution, failure narratives. Heavily formulaic.
Scalability, CAP-theorem trade-offs, common problems (URL shortener, news feed, distributed cache).
DSA fundamentals, common patterns, complexity analysis, edge cases.
Joins, window functions, query optimization, schema design. Critical for DS, DE, and backend SWE roles.