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Netflix Studio Engineering Overview

The Netflix TechBlog

In an effort to effectively and efficiently produce this content we are looking to improve and automate many areas of the production process. We combine our entertainment knowledge and our technical expertise to provide innovative technical solutions from the initial pitch of an idea to the moment our members hit play.

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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

While this is a relatively stream-lined process, it is not as efficient if a candidate is interested in or qualified for multiple roles within the organization. Some of the areas for which we are actively seeking backend engineers include Streaming & Gaming Technologies, Product Innovation, Infrastructure, and Studio Technologies.

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What is chaos engineering?

Dynatrace

In 2009, the purveyor of online videos migrated to AWS cloud infrastructure to deliver its entertainment to a growing audience. It created more uncertainty than the load balancing issues the entertainment firm saw in its data centers. Accelerates innovation. Increases resiliency and reliability. Advances collaboration.

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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

That person grew up dreaming of working in the entertainment industry. Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. Pretty straightforward, right?!

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Rising Tide Rents and Robber Baron Rents

O'Reilly

Patents—exclusive, government-granted rights intended to encourage innovation—protect pharmaceutical companies from competition and allow them to charge high prices. They are a price that we pay for a rising tide of innovation. What Is Economic Rent? For example, consider drug pricing. But not all rents represent abuse of power.

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What is an A/B Test?

The Netflix TechBlog

Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the second post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. How do we most efficiently analyze the data? See here for Part 1: Decision Making at Netflix.

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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. We worked in different industries before joining Netflix, including tech, entertainment, retail, science policy, and research. Roxy Du (Product Innovation) [Roxy D.]

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