Distributed Systems EngineerPlayback Data Systems

https://jobs.netflix.com/jobs/861178Ketan Duvedi

NetflixThe world’s leading Internet TV network

190+ countries

86+ millionmembers

1500+ devicessupported

125 millionhours / day

High scale

Big Global OpportunityGlobal broadband households continue to grow

Innovative CultureValues are what we value

High Performance

Freedom & Responsibility

Context, not Control

Highly Aligned, Loosely Coupled

Pay top of market

Promotions & Development

http://www.slideshare.net/reed2001/culture-1798664

Team Focus

Build and Operate server side infrastructure to collect, process, and provide high quality data about Netflix playback experiences.

Data CollectionViewing Data

Playback events Player QoE Errors

Ingest > 500K events/sec

Data CollectionDevice Attributes

Firmware, SDK, UI State changes

Ingest ~ 50K events/sec

Data Processing

SessionizeSanitize

SynthesizeSummarize

Data Processing - High Volume @ Low Latency

PDS owns 4 of Top 5 Cassandra Clusters at Netflix

Data Providing

What you’ve watchedWhere you’re at

Real time Operational Insights

Data ProvidingData feeds● Events and summaries● Large number of consumers

Personalized Recommendations

DevOps CultureInsights into our systems enables

Operational ExcellenceYou Build It, You Run It

Technology Stack

Big Opportunities

Global Scale

Improve the microservices architecture to ensure linear scalability at sublinear cost.

Data quality

Deliver high quality data despite diversity of quality in input events.

Use data to deliver business functionality

Flexible Processing

Build platform to enable partners to quickly explore new data

transformations and views.

For more info...Details of the team’s work and approaches:● How Netflix knows where you are in House of

Cards● Viewing History System Evolution

Interested?https://jobs.netflix.com/jobs/861178

Ketan Duvedi