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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. The interview panel consists of two or three engineers, a hiring manager and a recruiter. 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

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. Now that I have 3 kids, I’ve been limited to the gym but it’s a great way to get exercise and keep my mind sharp. . We have a lot of hills in our area so I can really get a good workout.

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What Am I Working On (RDORR): SQL Server On Linux

SQL Server According to Bob

We are a bit wiser (you could take that as older) now and we don’t wait until 5 o’clock but we still try everything we can think of to exercise the code. I have 20+ years of support experience that I am able to bring directly to the designs and implementations. For example, we were designing how to capture a crash dump.

Servers 40
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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. It leverages elasticity of the cloud by design?—?both

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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. Software Architecture. The new category is often called MLOps.

DevOps 138
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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. It leverages elasticity of the cloud by design?—?both

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A Clash of Mindsets: When New Products Depend on Existing Products

Strategic Tech

It seems unrealistic wanting the best of both world (speed and reliability) but the field of software engineering established during the past decade that speed and reliability can both be achieved. A good engineering organization moves at speed with high reliability. It doesn’t need to be a choice of one over the other.