Distributed Systems Engineer 5 - Data Platform Poland

We provide centralized data platforms and tools for various business functions at Netflix, enabling teams to utilize data to make critical, data-driven decisions. We focus on making it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to set the industry standard in building a world-class data infrastructure, supporting Netflix’s vision to be the most popular and widely accessible destination for global internet entertainment.

As the Data Platform charter grows, we are expanding our presence to Poland to further increase our impact. We are seeking Distributed Systems Engineers to help evolve and innovate our Product and Infrastructure. We are committed to building a diverse and inclusive team that brings new perspectives as we address the next set of challenges.

Team Spotlights

Data Platform Online Data Stores Team

This team will focus on taking end-to-end ownership of the internal data platform products, including ZooKeeper, one of the critical infrastructure products in our suite, ensuring its continued reliability, scalability and evolution. Over time, this team will expand its charter to more datastores, and to drive broader infrastructure initiatives. This expansion reinforces our mission to boost Netflix engineers’ productivity and innovation by providing a robust, efficient, and secure data platform, while fostering close collaboration between data platform teams to deliver greater organizational throughput and agility.

Experimentation Platform

This team owns the data infrastructure that makes A/B testing work at Netflix. Specifically, they build and maintain the systems that store and govern the record of who was in which experiment, across hundreds of concurrent tests running across streaming, ads, growth, and device platforms. They also own the semantic layer that ties every experiment metric at Netflix back to that allocation data, and the pipelines that keep the whole thing fresh and reliable. As the team matures, the scope grows to include self-service tooling for the teams running experiments and support for AI-driven monitoring and analysis workflows.

A few more things about us: As a team, we come from many different backgrounds and countries. Our fields of education range from the humanities to engineering to computer science, and we strive to give people the opportunity to take on different roles, should they choose to. We believe that this diversity and adaptability have helped us build an inclusive and empathetic environment, and we look forward to adding your perspective.