
Derived from 1 submission for ALL. Format details may vary across different teams or locations.
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The candidate participated in five virtual video interviews, each lasting 45 minutes, as part of the interview process for a Software Engineer (Backend) role. The process concluded with a rejection. The rounds included a technical screening, system design, and additional technical interviews.
Screening video interview with a problem involving image manipulation based on starting coordinates. The task was to determine if the coordinates were inside, outside, or on the boundary of a shape and modify the image accordingly.
Given an image represented as a 2D grid and starting coordinates, modify the image in-place: if the starting coordinates are outside the shape, paint everything except the shape white; if inside the shape, paint the shape black; if on the boundary, do nothing.
Virtual onsite interview focused on system design. The problem involved designing a URL shortener system, including API design, storage, and handling conflicts.
Design a URL shortener system (e.g., TinyURL) with the following requirements: shorten a long URL, handle conflicts in generated short URLs, and ensure efficient retrieval of the original URL from the shortened version.
Virtual onsite interview with a problem involving optimization in a warehouse context. The task was to load pallets onto trucks while minimizing the number of trucks used, without splitting orders from different farmers.
Given a scenario where pallets need to be loaded onto trucks to deliver orders to farmers, determine the optimal way to load pallets such that the minimum number of trucks is used without splitting any farmer's order across multiple trucks. Optionally, create a loading map or printout function to visualize the truck loading.