By: Carenina Garcia Motion, Leslie Posada, and Bethany Brodsky

Hack Day at Netflix has been a time for employees across the company to come together, meet, and collaborate on making fun ideas about Netflix come to life. Previously we have wanted to include Netflix offices across the globe, however, being fully remote finally unlocked seamless ways to make this possible. …

Written by Nick Tomlin, Michael Possumato, and Rahul Pilani.

This post shares how the Revenue & Growth Tools (RGT) team approaches creating full-stack tools for the teams that are the financial backbone of Netflix. Our primary partners are the teams of Revenue and Growth Engineering (RGE): Growth, Membership, Billing, Payments, and Partner Subscription. Each of these engineering teams — and the operations teams they support — help Netflix acquire, sign up, and manage recurring payments for millions of members every month.

To provide a view of some of the unique challenges and opportunities of our domain, we’ll share some of…

Dhevi Rajendran

This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.

Dhevi Rajendran is a Data Engineer on the Growth Data Science and Engineering team. Dhevi joined Netflix in July 2020 and is one of many Data Engineers who have onboarded remotely during the pandemic. In this post, Dhevi talks about her passion for data engineering and taking on a new role during the pandemic.

Before Netflix, Dhevi was a software engineer at Two Sigma, where she was most recently on a data engineering…

Written by Anton Margoline, Avinash Dathathri, Devang Shah and Murthy Parthasarathi. Credit to Netflix Studio’s Product, Design, Content Hub Engineering teams along with all of the supporting partner and platform teams.

In this post, we will share a behind-the-scenes look at how Netflix delivers technology and infrastructure to help production crews create and exchange media during production and post production stages. We’ll also cover how our Studio Engineering efforts are helping Netflix productions to spend less time on media logistics by utilizing our cloud based services.

Lights, Camera, Media! Productions take on media management

In a typical live action production, after media is offloaded from the camera and…

ConsoleMe: A Central Control Plane for AWS Permissions and Access

By Curtis Castrapel, Patrick Sanders, and Hee Won Kim

At AWS re:Invent 2020, we open sourced two new tools for managing multi-account AWS permissions and access. We’re very excited to bring you ConsoleMe (pronounced: kuhn-soul-mee), and its CLI utility, Weep (pun intended)!

If you missed the talk, check it out here.


Growth in the cloud has exploded, and it is now easier than ever to create infrastructure on the fly. Groups beyond software engineering teams are standing up their own systems and automation. This is an amazing movement providing numerous…

By Tim Brandall, Shawn Xu, Pu Chen and Jen Schaefer

It sounds like a dream come true for word-focused product people: a tool that lets Content Designers, Language Managers and others run lighter-weight copy tests, without heavy engineering support. At Netflix, this has been the reality for around a year, thanks to a tool known as Shakespeare. Designed and built by the Internationalization team, Shakespeare has unlocked copy testing in ways that weren’t possible before — from validating word choices to language optimizations for emerging markets, to timely tonal updates.

The Backstory

Since the DVD days, Netflix’s success has been shaped by…

By Michelle Brenner

Netflix is poised to become the world’s most prolific producer of visual effects and original animated content. To meet that demand, we need to attract the world’s best artistic talent. Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need. To meet this need, the Studio Infrastructure team has created Netflix Workstations.

Netflix Workstations are remote workstations that allow content creators to get to work wherever they are. As an engineer, I can work anywhere with a standard laptop as long…

By Raghuram Onti Srinivasan and Tianlong Chen

Netflix Studio is creating many hundreds of titles per year and a lot of this information is in varied data sources. We in the Data Platform organization have partners at Netflix Studio using services like Google Sheets and Google Drive for day to day operations. At the same time, we have the need to have this information in our Data warehouse for Data scientists to analyze the data. This has resulted in upwards of 20,000,000 files in Google Drive in varying formats (Sheets, Drive blobs, Docs and Slides).

With this proliferation of use…

Stephanie Lane, Wenjing Zheng, Mihir Tendulkar

Source credit: Netflix

Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. What does this title mean within a given company, or even within a given industry? It can be hard to know from the outside. At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Learning through data…

Orchestrated Functions as a Microservice

by Frank San Miguel on behalf of the Cosmos team


Cosmos is a computing platform that combines the best aspects of microservices with asynchronous workflows and serverless functions. Its sweet spot is applications that involve resource-intensive algorithms coordinated via complex, hierarchical workflows that last anywhere from minutes to years. It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation.

A Cosmos service

This article will explain why we built Cosmos, how it works and share some of the things we have learned along the…

Netflix Technology Blog

Learn more about how Netflix designs, builds, and operates our systems and engineering organizations

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