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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

Most backend engineering teams follow a process very similar to what is shown below. 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. If so, we invite you to begin the interview process.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. Wednesday?—?December

AWS 37
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Snap: a microkernel approach to host networking

The Morning Paper

You need a lot of software engineers and the willingness to rewrite a lot of software to entertain that idea. Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Enter Google! Emphasis mine).

Network 92
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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Growth Advertising At Netflix, we want to entertain the world ! As a result, we are risk averse in decision making and actively mitigate the probability of purchasing ads that are not efficiently attracting new members. We’ll touch upon four ways that partnerships between data science and engineering teams have benefited this space.