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Netflix's current engineering loop is high-signal and repeat-heavy: Ads candidates see the same topo / frequency-cap / ads data-modeling trio, Member-Commerce-Games candidates see homepage dedupe and duplicate-detection variants, and Infra / Data Platform candidates see cache, latency, and concurrency rounds. The technical prompts are usually solvable, but the grading is communication-heavy: candidates are expected to clarify vague requirements, write tests, explain trade-offs, and connect their past work tightly to the target org.

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Topological Sort / Course Schedule for Ads

The Ads coding staple is a Course Schedule / dependency-ordering problem. The base task is to produce or validate a topological order; follow-ups ask for runtime, multiple valid orders, all possible orders, or parallel-course scheduling.

SWE
topological-sort
graph
bfs
backtracking
+2
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