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Software Engineer (L5), Privacy Engineering



Software Engineering
California, USA · Remote
Posted on Tuesday, July 9, 2024
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 Netflix’s culture of “People Over Process,” you’ll 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 a 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 or Python, with experience in 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.
  • You’re able to communicate complex technical topics to diverse audiences with varying technical and subject matter backgrounds.
Stunning colleagues come from different education levels and backgrounds. The Netflix culture determines who we hire, how we work together, and how we make decisions. You will be surrounded by stunning colleagues and empowered to produce your best work.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.