Job Specifications
Netflix is one of the world's leading entertainment services, with over 300 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.
The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment.
We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S.
Spotlight On Data Platform Teams
Data Movement Platform - Realtime Data Engines
Offers low level building blocks for the transport and processing of realtime data. For data transport we offer Kafka; for data processing we offer Flink and Mantis. Responsibilities include development of the control plane, compute resource management, reliability and availability of the data. Realtime data is critical across many business units of Netflix including Streaming, Gaming, Finance and Machine Learning platforms. This team also owns the Schema Registry to enable schema driven development for all real-time applications across Netflix.
Data Movement Platform - Abstractions
Offers an abstracted self-service paved path product to enable varied user personas across Netflix to meet their Data Movement and Processing requirements; enables abstraction over complex real-time frameworks such as Kafka and Flink and batch frameworks such as Spark; offers a Schema driven processing experience; invests in operational automation, reliability and tools for predictable data quality.
Data Discovery and Governance
Data Discovery and Governance are strategic bets at Netflix that underpin our ability to leverage data as a valuable asset. The Netflix data discovery and governance team owns the foundational building blocks necessary for ensuring all our data is used effectively, efficiently, securely, and in compliance with regulations. Specifically, this allows Netflix to organize its data better, take informed actions with increased precision in security, privacy, and efficiency, improve our risk management capabilities, increase confidence in the quality of the data, and enable the discovery & auditing of high-value datasets.
While Netflix has built a strong data platform foundation, we are still in the very early stages of setting up a scalable and extensible data discovery platform to help the company derive higher-level insights and values of data across new businesses like Games, Live, Ads, on top of our streaming service.
Specifically, this team owns the Netflix-wide data catalog to capture and infer business metadata across all datasets at Netflix, distributed search and lineage infrastructure to effectively discover data and track lineage across different systems; and an extensible policy engine framework that allows our stakeholders to customize data policy rules for all datasets.
Online DataStores - KeyValue Team
The KeyValue team (part of the Online Data Stores portfolio) offers a managed key value store to meet Netflix's operational data requirements across all lines of business. Our focus is on developing and maintaining a high-performance, reliable, and efficient key-value store. Additionally, we enhance developer productivity by providing secure, intuitive and opinionated access layer for our backing storage engines including Cassandra.
This team is passionate about building innovative, efficient, performant, and scalable offerings for our customers. Our team also engages with the Cassandra open source community, actively contributing to and responsibly stewarding the development and use of open source software.
Online DataStores - Caching
Our focus is on developing and maintaining highly performant, reliable, and cost-efficient data storage solutions at Netflix’s extreme scale. These data stores are built from a combination of world-class in-house solutions that are open-sourced and used by top technology firms, as well as state-of-the-art data solutions from public cloud offerings. Additionally, we enhance developer productivity by providing opinionated and intuitive, secure abstraction layers on top of the base storage systems.
The Online Data Stores team is a customer-obsessed
About the Company
Netflix is one of the world's leading entertainment services, with over 300 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.
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