
Aggregated from 3 candidate experiences for ALL.
The candidate had a positive interview experience with Jupiter Money and received an offer. The process included coding, LLD, HLD, and BarRaiser rounds.
The candidate faced two coding problems: a partition label problem and finding the highest average level in an N-ary tree.
Partition label problem
Highest average level of Btree (followed by N-ary tree)
The candidate was asked to design the database schema for a Stackoverflow-like points feature and had a discussion on system and product design.
DB Design of Stackoverflow points feature
System and Product Design discussion
The candidate was asked to design a high-level architecture for an IG Feed feature.
IG Feed high level design
The candidate discussed their past projects, behavioral questions were asked, and there was a discussion about the role, projects, and roadmap.
Project discussion
Behavioral questions and discussion on role/projects and roadmap
The candidate, with 3 years of experience and currently working as a Backend SWE2 at a fintech company, went through four rounds: DSA, LLD, HLD, and HM. The process included designing systems like a chess game, typeahead search, and Instagram newsfeed. No feedback was received, and the candidate assumed rejection.
An online assessment round conducted by a third-party site with two questions: finding the number of islands in a matrix and finding the first missing positive element in an array.
Find the number of islands in a matrix where 1 represents an island and 0 represents water.
Find the first missing positive element from an array.
The candidate was asked to design the Low-Level Design (LLD) of a chess game.
Design the Low-Level Design of a chess game.
The candidate was asked to design a typeahead search system similar to Google's search.
Design a typeahead search system similar to Google search.
The round included behavioral questions followed by a task to design the High-Level Design (HLD) of an Instagram newsfeed.
Design the High-Level Design of an Instagram newsfeed.