Software Engineer 4 - Data Platform Poland

Netflix
Warsaw,PolandPosted 25 February 2026

Job Description

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. Our Data Platform team provides centralized data platforms and tools for various business functions at Netflix, enabling them 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 goal 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 Product Enhancement Team This team builds strategic user-facing products for the Netflix Data Platform, serving a variety of business-critical needs. The immediate focus is on building and operating batch data connectors that support data movement across Netflix. These connectors will be integrated with our flagship product, Data Bridge, offering users a consolidated, managed data movement platform. In the future, this team will collaborate with other Data Platform product domains to enhance offerings in real-time connectors, search infrastructure for data discovery, product metrics instrumentation, and more. Data Platform Infrastructure Tooling Team This team delivers value by innovating in infrastructure and tooling to support strategic initiatives within the Data Platform. The team complements existing domain-specific infrastructure teams and partners closely with them on projects such as advancing testing infrastructure, developing reference applications, and implementing testing solutions. The team also works on bringing stateful systems onto the Netflix streamlined “paved path” for operational ease, tooling for automated migrations, and establishing correctness and performance parity. 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. This could be a great opportunity for you if you enjoy: Solving business needs at scale by applying your software engineering and analytical problem-solving skills Designing and building robust, scalable, and highly available distributed infrastructure Leading cross-functional initiatives and collaborating with engineers, product managers, and technical program managers across teams Sharing experiences with open source communities and contributing to Netflix OSS About you: You have 2 or more years of experience building features or applications for large-scale distributed systems You are proficient in designing and developing RESTful web services You have experience building and operating scalable, fault-tolerant, distributed systems You have experience with Java or other object-oriented programming languages and scripting languages such as Python You are comfortable with multi-threading challe ... (truncated, view full listing at source)
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