Job Description

Software Engineer (L5), Privacy Engineering

  • Remote, United States

Security

Netflix is revolutionizing entertainment by producing, distributing, and streaming content at a massive scale. Over 260 million members around the world are currently enjoying more than two billion hours per month of original series, documentaries and feature films. Visit our Long-Term View to learn more.

The Team

The Privacy Engineering organization is dedicated to ensuring safe & efficient data use across Netflix, and the Privacy Infrastructure Engineering team plays a key role in this mission. We work closely with our stunning colleagues in privacy engineering designing and building privacy and data protection solutions for the entire company. We promote privacy-enhancing designs, set engineering standards and build systems to ensure Netflix is managing data correctly. We are a small and agile team with tremendous visibility and impact, and with Netflixs culture of Freedom and Responsibility youll decide how to best use your talents and time.

The Role

We are looking for a Senior Software Engineer to build privacy engineering solutions across the entire Netflix infrastructure. In this role, you will partner closely with other engineers, data scientists and TPMs to conceptualize, prototype, develop, optimize and refine data cataloging, detection and metadata systems at scale. This role provides an unique opportunity to work across diverse environments including distributed systems, data streaming and data warehouse solutions. You will have the freedom to innovate, solve interesting problems and impact the business in a meaningful way.

Desired Background:

  • You are passionate about privacy and data protection!
  • You are a highly skilled software engineer with strong experience in system design, building and developing scalable and sustainable solutions.
  • You are proficient in Java, with experience in python and scala is a plus.
  • You excel in using SQL (any variant) with large data sets, and have built data pipelines on technologies such as Spark, Presto, Flink or Kafka.
  • You have a bias towards action and are comfortable navigating through ambiguous environments.
  • Youre able to communicate complex technical topics to diverse audiences with varying technical and subject matter backgrounds.

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