Microsoft Software Engineer Interview Guide

The practical coding round stood out much more than a typical LeetCode exercise. My process began with a team-match conversation, followed by a single technical screen. The final loop had four interviews: a hiring-manager conversation, a system-design round, and two coding rounds. The coding questions were multi-part and included follow-ups, so I found it important to explain my choices as I went rather than racing to a minimal solution.

One of the coding interviews was essentially a small log/query-engine exercise. I was given raw CSV data and asked to implement a CSVEngine that could return rows as dictionaries keyed by the column names. From there, I had to add a select operation for a chosen set of columns and a filter operation supporting equality, less-than, greater-than, and substring matching. The important twist was making the API fluent, so chained filters followed by a select would apply the combined conditions correctly. It felt deliberately practical: parsing data carefully, choosing a sensible internal representation, and keeping the interface easy to extend mattered as much as getting the first method working.

The loop also covered higher-level design and discussion of my background with the hiring manager. For system design, I expected to be pushed to justify tradeoffs rather than simply name components; I treated requirements, assumptions, and the reasoning behind each decision as part of the answer. Overall, the interviews were challenging because the coding was multi-step and the design discussion required clear explanations, not because of obscure algorithms. I did not receive an offer. My main advice is to practice implementing a small CSV-backed query API end to end, including chained filtering and projection, and narrate how you would handle parsing and predicate behavior before coding.