Name and Shame: MongoDB
Interview Experience
Position: Tech Writer Im a double major in CS and English so tech writing is exactly what I wanted to do. I studied for 3 months on leetcode literally nonstop grinding. I was told I could pick whateve
Full Details
Position: Tech Writer Im a double major in CS and English so tech writing is exactly what I wanted to do. I studied for 3 months on leetcode literally nonstop grinding. I was told I could pick whatever language I wanted to code in. My interviewer said he only wanted to read javascript A LANGUAGE IM NOT THAT FAMILIAR WITH. So I try and keep it cool and I get myself familiar with the code he wants me to debug. This guy is a D1 YAPPER. Will not let me talk through my process, nothing. He keeps on mansplaing a linked list… like sir I KNOW. And I tell him im familiar and he tells me he doesn’t believe I am(?). I tell him I know what it is and that im a JR whose ahead in the CS major so I do know what it is. He then says okay and continues to explain what a tail and head is and so I sit and listen because maybe hes just trying to get me prepared. Finally 25 mins into a 35 minute interview he tells me to begin debugging so I do. He tells me after I deleted a node from the LL i need to adjust the length. Im confused because the code does it already. So i mentioned it but he tells me not to talk back and just do it. So i do it. He tells me to delete it and that I need to trust myself more… Anyways at the end he asks me what I needed to improve so I said learn JS and trust my gut… i blew the other interviews out of the water they were mainly tech writing questions and those interviewers were very kind. I just felt like I was extremely mistreated during that tech interview. I just got my anticipated rejection today where they said it was bc of my tech interview. Im extremely heartbroken but I know there was nothing I could’ve done or had done to make that interview go smoothly.
About This Question
This is a candidate experience report from a mongodb interview for a swe role (junior level) reported in 2023.
It covers the following topics: Linked List .
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About MongoDB Interview Reports
This question was reported by a candidate who interviewed at MongoDB. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.
Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at MongoDB are the higher-signal extractions to take from this report.
For broader preparation context, the MongoDB interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.
How To Practice This Type of Question
Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.
Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in MongoDB reports consistently are the ones worth investing in; one-off niche problems are not.
During Your MongoDB Round
Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.
The single most predictive failure mode in MongoDB reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.