Goldman Sachs Interview Questions (2026)
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Goldman Sachs Software Engineer Superday and DSA Interview Experience
Question Details
Hello everyone, just went through GS Superday. Here are the details: 1 - SDLC + Resume round: The questions from my resume were relatively easy, just some deep dives. They asked me a LC question in this round: avgOfStudentsScore(). You should be able to find it easily. We had around 10 mins remaining in this round, so the interviewers asked me to verbally solve Parking Lot (multiple floors) question. I still wrote down the class design to be safe 2 - Design Round: I was expecting LLD but was asked HLD for twitter and only tweets on home page (global tweets + follower tweets). Asked to draw a diagram. After this, I was asking to write down the entities and their fields. Then the interviewers asked me a bunch of questions about databases: difference between relational databases vs others, why postgreSQL here, can we use any other database, etc. Then they asked me to exolain how OOP principles would apply here (specificially in data entities). Overall, not too hard if you study System Design and solve frequently asked questions from GS. 3 - DSA: This is the round where I struggled a bit. I was asked to design a blackjack game where the Ace could be used as 1 or 11. Tell us if a hand is blackjack or not. I struggled with the egde case part. 2 days after this, I was invited to an additional DSA round. I think probably because feedback from all rounds (Coderpad + Design + SDLC) was really good - only DSA wasn't good.
Additional DSA round: Max area of 1s in a grid with 0s and 1s. Classic leetcode question. They grilled me hard on this one though. 10-20 questions about DFS vs BFS were asked. Waiting for results - USA #Goldman #GoldmanSachs
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Goldman Sachs Interview Process Overview
The Goldman Sachs interview process typically includes a recruiter screen, one to two technical phone screens, and a 4-6 round on-site or virtual on-site loop. Each round serves a distinct calibration purpose: coding rounds measure correctness, code quality, and complexity reasoning; system design rounds measure architectural judgment at the appropriate level; behavioral rounds measure ownership, leadership scope, and collaboration. Reports tagged on LeakCode from 2024-2026 show Goldman Sachs runs a calibrated process consistent with industry norms for companies of its tier.
Difficulty calibration: Goldman Sachs coding rounds typically run medium difficulty with follow-up depth as the senior discriminator. System design rounds expect production-grade trade-off articulation at L4+ levels. Behavioral rounds expect quantified outcomes ("reduced p99 latency from 800ms to 120ms") rather than vague impact claims. The candidates who advance consistently demonstrate clear thinking out loud rather than perfect final answers.
How To Use Goldman Sachs Question Reports
Real candidate-reported interview questions are a calibration tool, not a memorization target. Goldman Sachs updates its question pool every 2-4 months; memorizing exact problems risks misleading you when the interviewer uses a variant. The high-leverage approach: identify the patterns that appear repeatedly in Goldman Sachs reports, practice those patterns on similar (not identical) problems, and use the reports to understand the interviewer's typical follow-up depth.
Filter the questions above by round type, difficulty, and recency. Focus first on reports from the past 6-12 months; older reports may reference questions that have since rotated out of Goldman Sachs's pool. Reports tagged with quantified difficulty and explicit round type are higher-signal than reports without those tags. The metadata filters help you build a focused study plan in 1-2 hours rather than 8-10 hours of unstructured browsing.
Common Goldman Sachs Interview Mistakes
Reports tagged "no hire" at Goldman Sachs consistently surface a few patterns: jumping into code without clarifying requirements, coding silently for extended periods, missing edge cases (empty input, single element, large input, overflow), producing working code the candidate cannot refactor when probed, and behavioral stories that use "we" instead of "I" diluting individual signal. Strong candidates explicitly avoid these patterns by following a consistent round template.
The single most predictive failure mode in recent reports: not asking clarifying questions. Interviewers are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into implementation immediately. Strong candidates also verbalize their approach before writing code; weak candidates code in silence and lose the communication dimension of the round's calibration.