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

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A Day in the Life of… the Director of Sales

Tasktop

I usually wake up and exercise before starting my day. With exercising starting as early as 5am, it has been a great way for me to jump start the day. (If When I get home from exercising, I help get the kids ready for school with my husband, have a cup of coffee, and then walk the kiddos up to school. Want to work with Laura?

Energy 52
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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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What Am I Working On (RDORR): SQL Server On Linux

SQL Server According to Bob

Before joining Microsoft in 1994 I worked at State Farm Insurance and spent several years in a testing group and later joined a team developing applications against SQL Server for OS/2. We developed a friendly competition to break one another’s code. Bob Dorr – Principal Software Engineer SQL Server.

Servers 40
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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

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.