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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

For many roles, you will be given a choice between a take-home coding exercise or a one-hour discussion with one of the engineers from the team. We recommend against interview coding practice puzzle-type exercises, as we don’t ask those types of questions. The problems you are asked to solve are related to the work of the team.

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A Day in the Life of… a Software Training Specialist

Tasktop

Meet Jason Grodan, a Software Training Specialist at Tasktop! I Also like to spend a little bit of time stretching and doing light exercises, reading or playing with my daughter before I dive into some work. My role at Tasktop is a ‘Software Training Specialist’. Managing our training Infrastructure is an ongoing thing.

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Automating chaos experiments in production

The Morning Paper

In this type of environment, there are many potential sources of failure, stemming from the infrastructure itself (e.g. degraded hardware, transient networking problem) or, more often, because of some change deployed by Netflix engineers that did not have the intended effect.

Latency 77
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MLOps and DevOps: Why Data Makes It Different

O'Reilly

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. All ML projects are software projects. In effect, the engineer designs and builds the world wherein the software operates.

DevOps 138
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. Metaflow removes this cognitive overhead.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. Metaflow removes this cognitive overhead.