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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

It’s also a great opportunity for you to learn more about the available roles, the technical challenges the teams are facing and what it’s like to work on a backend engineering team at Netflix. We recommend against interview coding practice puzzle-type exercises, as we don’t ask those types of questions.

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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’. How do you start your day before work. years and I love it.

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The TaskTalks Podcast is back: ‘A Day in the Life of a Senior Software Engineer’

Tasktop

For the first episode, one of our software engineers, Tim Van Der Kooi, interviewed Ryan Nosworthy. Ryan is a senior software engineer here at Tasktop, and he’s working on been working on Tasktop Viz, our new product that we unveiled at DOES 2019 last week. We have a small team at Viz, there are five engineers.

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

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. Metaflow removes this cognitive overhead.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

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

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. Metaflow removes this cognitive overhead.

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Automating chaos experiments in production

The Morning Paper

degraded hardware, transient networking problem) or, more often, because of some change deployed by Netflix engineers that did not have the intended effect. This mode is still available but take up from busy service teams was limited. If ChAP detects excessive customer impact during an experiment, the experiment is stopped immediately.

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