Generalist engineer building AV quality automation tools for Netflix's global device ecosystem

Build automation tools and test platforms (like EyePatch) that let device manufacturers (Samsung, Sony, Google, Amazon) and Netflix engineers characterize audio/video quality at scale over HDMI, SDI, and SMPTE 2110. Spans front-end and backend service development, CI/CD/regression infrastructure, and live AV signal processing across encoder/decoder/transport tech. Requires 7+ years shipping software products, strong in Python/JavaScript or C/C++.

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What this interview tests

Distributed AV testing/measurement platform design (capture, encode/decode, transport)
Full-stack development: front-end + backend for testing tools
CI/CD and regression infrastructure at scale
AV data metric pipelines for insight exploration
Cross-team and external vendor collaboration

Common question themes

Design a distributed platform to capture and measure audio/video quality at scale

How would you build a data pipeline from raw AV metrics to actionable insights

Tell me about integrating an external vendor's software framework into your solution

Building CI/CD and regression infrastructure that scales with a growing device ecosystem

A time you drove a new tool or application from ideation through rollout

How candidates describe it

Real Software Engineer L5 - Audio/Video Tools and Tests interview stories — retold from candidates' public write-ups, with sources.

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Interviewed January 2023 · Not specified

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Interviewed 2021 · Not specified

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Google L3 software engineer interview: phone screen, four coding rounds, and the Googleyness round

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Interviewed June 2020 · Bangalore, IN

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