About Binance
Netflix is the world's leading streaming entertainment service with 238 million paid memberships in over 190 countries enjoying TV series, films, and games across a wide variety of genres and languages. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
About the Position
At Netflix, we are reshaping the future of entertainment. Our approach is to foster innovation, enabling our employees to create impact without predefined limitations. The Core Data Engineering team is at the heart of this mission. We provide the foundational platforms that empower Netflix to analyze data, make informed decisions, and evolve its products. Our platforms handle vast amounts of data, processing petabytes daily to serve critical analytical and machine learning workloads. We are looking for an experienced backend software engineer to join us.
Role
{"responsibilities":["Design, develop, and maintain highly scalable data infrastructure and backend services.","Collaborate with cross-functional teams to understand data needs and deliver robust solutions.","Optimize and improve the performance, reliability, and efficiency of our data platforms.","Mentor junior engineers and contribute to a culture of technical excellence."],"requirements":["5+ years of experience in backend development, with a strong focus on distributed systems.","Proficient in Java, Python, or Scala.","Experience with big data technologies such as Spark, Flink, Hadoop, or Kafka.","Solid understanding of data structures, algorithms, and software design principles.","BS or MS in Computer Science or a related field."],"nice_to_haves":["Experience with cloud platforms (AWS, GCP, Azure).","Familiarity with data warehousing concepts and technologies (e.g., Snowflake, Redshift).","Contributions to open-source projects."]}
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Location
Los Gatos, California
Type
Full-time
Compensation
Netflix's compensation structure is unique. We pay our employees at the top of the market, allowing them to choose how they want to be compensated (e.g., salary, stock options, etc.). We do not have bonuses or traditional raises but annually adjust compensation based on market rates and individual performance.
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