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Posted May 6, 2026

Experienced Distributed Systems Engineer (L4) - Data Platform: Architecting Scalable Data Infrastructure for Netflix's Global Entertainment Network

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Join the Pioneering Data Platform Team at Netflix: Revolutionizing Entertainment with Data-Driven Innovation

Netflix is at the forefront of the global entertainment industry, boasting over 283 million paid memberships across more than 190 countries. As a leader in streaming services, Netflix is not just a platform but a cultural phenomenon, offering a diverse range of TV series, films, and games that cater to varied tastes and preferences. The company's success is deeply rooted in its ability to leverage data effectively, making informed decisions that enhance user experience and drive business growth.

The Data Platform teams at Netflix play a crucial role in this endeavor, providing the foundational data infrastructure and tools that enable various business functions to make critical, data-driven decisions. As a Distributed Systems Engineer (L4) - Data Platform, you will be part of this dynamic team, contributing to the evolution and innovation of Netflix's data infrastructure. This role is available for immediate commencement and is open to remote candidates within the U.S., offering the flexibility to work from anywhere.

About the Data Platform Teams

The Data Platform teams are responsible for building and maintaining the centralized data platforms and tools that are pivotal to Netflix's operational and analytical data needs. The teams are organized into several focus areas, including Big Data Warehouse and Iceberg, Online Data Stores, and Data Movement Platform - Connectors. Each of these areas is critical to ensuring that Netflix's data infrastructure is robust, scalable, and capable of meeting the demands of a rapidly growing and evolving business.

Key Responsibilities

Essential and Preferred Qualifications

To succeed in this role, you should have:

Preferred qualifications include experience with data stores such as EVCache, Redis, Hollow, RDS, Aurora, CockroachDB, Opensearch, and technologies like Spark, Kafka, and Flink. Familiarity with data movement platforms and connectors is also desirable.

Skills and Competencies Required for Success

To excel as a Distributed Systems Engineer (L4) - Data Platform at Netflix, you will need:

Career Growth Opportunities and Learning Benefits

At Netflix, you will have the opportunity to work on complex and challenging projects that drive business growth and innovation. As a Distributed Systems Engineer (L4) - Data Platform, you will be part of a team that is pushing the boundaries of data infrastructure and technology. You will have access to a wide range of learning and development opportunities, including training programs, mentorship, and the chance to work with cutting-edge technologies.

Work Environment and Company Culture Highlights

Netflix is known for its unique and inclusive culture, which values diversity, creativity, and innovation. As a remote team member, you will be part of a global community that is passionate about entertainment and technology. Netflix offers a flexible work environment that allows you to work from anywhere in the U.S., providing the perfect balance between work and personal life.

Compensation, Perks, and Benefits

Netflix offers a competitive compensation package that includes:

Conclusion

If you are a motivated and experienced Distributed Systems Engineer looking to join a pioneering team at the forefront of the entertainment industry, we encourage you to apply for this exciting opportunity. As a Distributed Systems Engineer (L4) - Data Platform at Netflix, you will be part of a dynamic team that is shaping the future of data infrastructure and driving business innovation. With a competitive compensation package, a flexible work environment, and opportunities for growth and development, Netflix offers a unique and rewarding career experience.

Ready to take the next step in your career? Apply now to join the Netflix team and be part of a company that is revolutionizing the entertainment industry with data-driven innovation.

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