Netflix interview notes, page 13 of 20

FAANG / Big Tech

Most of these Netflix write-ups come from Software Engineers (136), then Data Scientists (23) and Product Managers (16). The most reported rounds are the technical phone screen (94), the system design round (48), the product sense round (14) and the behavioral / leadership round (11).

191 interview notes · updated Jul 2026

Netflix·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Netflix system design round, one big question that took up the whole session. The problem was designing a real-time ad frequency capping system and it went way deeper than I expected, covering everything from rolling window counters to multi-region consistency tradeoffs.

Design a real-time ad frequency capping system that enforces rolling-window impression limits per user across multiple dimensions (campaign, advertiser, creative) and multiple simultaneous time windows, with a check-and-reserve API and an impression logging API.

“This one is massive.”

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Netflix·Machine Learning Engineer·Technical Phone Screen

Jun 2026

Interviewed at Netflix for what seemed like an ML or data role involving content classification. The prompt was pretty bare bones so there's not much to go on, but the core task was about categorizing social media posts by topic.

How would you build a system to automatically classify social media posts by topic?

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Netflix·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Netflix system design round, one question about how you'd build privacy blurring for something like Street View. Sparse content but the question itself has some meat to it.

How would you design a system to automatically detect and blur sensitive information (faces, license plates, etc.) in street-level imagery at scale?

“This one took me a second to figure out why Netflix would even ask it, which probably cost me some composure early on.”

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Netflix·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Netflix system design round, one big question that sprawled into like six different sub-problems. The interviewer kept pushing on edge cases I hadn't fully thought through, which was uncomfortable but probably fair.

Design a system that enforces frequency caps on ad impressions, where each user-campaign pair cannot be shown the same ad more than N times within a rolling 24-hour window. Address latency constraints on the ad serving path, how you'd store and update counters, exact vs approximate counting tradeoffs, write amplification at high QPS, sliding window expiration, multi-region consistency, and how the system should behave when the counter store goes down.

“This one kept expanding.”

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Netflix·Software Engineer·Technical Phone Screen

Jun 2026

Netflix technical phone screen for a software engineering role. One coding question that looked straightforward but had a follow-up that pushed into concurrency theory pretty fast.

Implement a thread-safe atomic counter in Java with increment, decrement, and get operations using the synchronized keyword. Then explain the difference between that approach and using AtomicInteger, including the performance trade-offs around lock contention versus compare-and-swap.

“The implementation part was fine, wrapping the methods with synchronized wasn't hard.”

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Netflix·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Netflix system design round focused on ads serving infrastructure. The bulk of the session was standard pipeline stuff but the interviewer kept pushing hard on budget pacing, which turned into a pretty deep rabbit hole.

Design an end-to-end ads serving system, covering request flow, candidate generation, ranking and auction mechanics, pacing, attribution, and billing.
How would you implement frequency capping so a user doesn't see the same ad more than N times within a configurable time window?
A campaign has a daily budget. How do you ensure it gets spent smoothly throughout the day rather than exhausting the budget in the first few hours?
Walk through the telemetry and billing pipeline for an ads system. How do you ensure accurate spend tracking and attribution?

“I'd done this kind of question before so the skeleton came out fine.”

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Netflix·Product Manager·Hiring Manager Screen

Jun 2026

Had a PM screen at Netflix that was pretty light on product theory and leaned more into estimation. Just the one question from what I remember, nothing too crazy but it tripped me up a bit.

How many airports are there in the US, and how many are there worldwide?

“Classic estimation question and I still fumbled it.”

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Netflix·Software Engineer·Technical Phone Screen

Jun 2026

Netflix software engineer interview, one coding question that looks straightforward until you actually think about it. Pretty standard technical phone screen vibe from what I remember.

Given an array of strings, find the longest contiguous subarray that contains no duplicate strings.

“Classic sliding window setup.”

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Netflix·Software Engineer·Technical Phone Screen

Jun 2026

Netflix software engineer interview that was mostly a coding problem followed by a pretty long chat about background and culture fit. Nothing too brutal but also nothing that felt particularly special.

Given an array of strings, find all pairs where the two strings share zero characters in common. For example, given ['a', 'ab', 'b'], return the index pairs [[0, 2]].

“Went straight to the brute force O(n^2) approach and just...”

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Netflix·Software Engineer·Onsite - System Design / Architecture

Jun 2026

Netflix system design round focused entirely on one beast of a question about rendering the home page above-the-fold with deduplication across rows. Dense problem, lots of moving parts, and I felt like I was playing catch-up the whole time.

Design the above-the-fold rendering for the Netflix home page such that every show visible in the initial viewport is unique across all rows and within each row. Walk through the data model, personalization inputs, constraints like editorial pins and maturity ratings, the deduplication algorithm, conflict resolution, backfill strategy, caching, lazy loading, latency budget, and how you'd measure success.

“This is one of those questions where you think you have a handle on it after the first minute and then the interviewer starts pulling threads.”

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