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Website Netflix
Job Description:
Sitting within the Produce Edge Services organization, the Playback Data Systems (PDS) team builds and operates infrastructure and services to collect, process, and aggregate data pertaining to every playback session.
Job Responsibilities:
- Store your bookmarks in near real-time, which allows for core product features such as “Resume Watching” where a user can switch viewing streams between different authorized devices, such as your TV or mobile phone.
- Collect and process users’ Viewing History, which is utilized to drive things like “Continue Watching” as well as personalization of home screen content.
- Deliver high-quality aggregated data feeds that drive business-critical decisions around content performance and member viewing.
- Provide APIs for real-time, low latency access of Viewing Data to downstream partner teams such as our Algorithms teams who use this information to deliver a personalized Netflix experience.
Job Requirements:
- Data modeling (e.g., JSON/proto buf)
- Has led large-scale architectural changes with several stakeholders, and can talk to them.
- Strong technical communication skills.
- Ability to work cross-functionally for technical collaboration.
- Familiarity with Cloud-based architectures (AWS/Azure/GCP)
Qualification & Experience:
- Experience working with large-scale distributed caches.
- Experience with near real-time stream processing.
- Experience working with distributed data, managing/working with PB+ size datasets
- Experience designing and implementing internet-scale services.
- Experience working with Cassandra or similar NoSQL data storage technologies.
- Experience designing and implementing high-scale fault-tolerant distributed systems and microservices.
- Experience working with Kafka or similar pub-sub technologies.
- Experience running services in production.
Job Details:
Company: Netflix
Vacancy Type: Full Time
Job Location: Tallahassee, FL, US
Application Deadline: N/A
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