Distributed Systems Engineer (L5) - Data Platform

About the role

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Data Platform Organization enables 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 Teams Currently Hiring:

Big Data Compute {Spark}

The BDCS team is responsible for providing the cloud-native platform for distributed data processing at Netflix. This team is central to batch data processing in Data Platform. It provides support for Spark to ETL data into the Exabytes-scale data warehouse and support large scale analytics on the data to provide insight to all the Netflix functions such as A/B testing, Recommendations, Machine Learning to name a few and enable new business initiatives such as ads and live.

We are looking for exceptional talent with experience in Spark, Presto / Trino, Druid, Iceberg and distributed database systems in general. Roles in this team involve solving super interesting and challenging problems of working with data at scale, building features and performance enhancements and working closely with open source communities to shape the projects and make contributions.

DGE - Data Discovery & Experience

The Governance and Experience team builds the foundational platform to catalog, govern, and optimize Netflix’s core strategic assets spanning data, AI models, autonomous agents, and software entities like applications and deployments. By pairing unified governance infrastructure with intuitive discovery experiences, the team proactively minimizes operational, security, and compliance risks while driving cost efficiency across streaming, Games, Live, and Ads.

The team delivers this through company-wide cataloging, automated classification, distributed search, and end-to-end lineage tracking that connects data pipelines to running services and models. Powered by an extensible policy engine, this platform eliminates inefficient infrastructure and allows stakeholders to customize policy rules for all datasets, with the flexibility to extend to other entities in the future.