Netflix is one of the world's leading entertainment services, with 283 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.
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.
As the Data Platform charter grows, we are looking to expand our footprint to Poland to increase our velocity. We are looking for Distributed Systems Engineers to help evolve and innovate our Product and Infrastructure. We are committed to building a diverse and inclusive team that will bring new perspectives as we solve the next set of challenges.
Team Spotlights
Data Platform Product Enhancement Team
This team will be responsible for building strategic user-facing products for the Netflix Data Platform serving various business-critical needs. Their immediate focus will be owning, building and operating batch data connectors supporting the Data Movement needs across Netflix. These connectors will be integrated with our paved path flagship product, Data Bridge offering users a consolidated managed data movement platform. In the future, this team will partner with other Data Platform product domains to enhance their offerings in real-time connectors, search infra for data discovery, product metrics instrumentation, etc.
Data Platform Infrastructure Tooling Team
This team will be responsible for delivering value by innovating on infrastructure and tooling areas to support strategic initiatives in the Data Platform. This team will complement existing data platform domain-specific infrastructure teams and will partner closely with the domain infrastructure teams on a variety of projects, such as advancing testing infrastructure, developing reference applications, and implementing testing fakes. The team also works on bringing stateful systems on the Netflix paved path for operational ease, tooling for automated migrations, and establishing correctness and performance parity.
This would be your dream job if you enjoy:
Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills.
Architecting and building a robust, scalable, and highly available distributed infrastructure.
Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams.
Sharing our experiences with the open source communities and contributing to Netflix OSS.
About you:
7+ years experience in crafting complex, scalable distributed data infrastructure
Proficiency in Java, C++, Python, or Scala with a solid understanding of multi-threading and memory management
Experience with the Spark platform is a plus
Proven track record of developing and maintaining high-impact systems
Experience building and operating scalable, fault-tolerant, distributed systems
You have a BS in Computer Science or a related field
A few more things about us:
As a team, we come from many different backgrounds and countries, and our fields of education range from the humanities to engineering to computer science and we strive to give people the opportunity to wear different hats, should they choose to. We strongly believe this diversity and agility has helped us build an inclusive and empathetic environment, and we are looking forward to adding your perspective to the mix!
Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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