Rakuten Viki streams Asian TV and movies to a global audience, with native apps across iOS, Chromecast, Fire TV and Roku. Its data stack is unusually deep for its size: Iceberg on EMR, Spark, Flink, Kafka, dbt, Airflow and DataHub point to an active lakehouse build and a push toward self-serve analytics. Hiring skews toward engineering and interns, and pain points center on legacy migration and compute cost.
Rakuten Viki is a streaming service, founded in 2010, that delivers Asian primetime shows and movies with subtitles translated by its fan community. It is part of Rakuten Group and is headquartered in San Mateo, California, with 51–200 employees. Its portfolio also covers Soompi, a K-entertainment news and community site, and a production arm that develops Viki Originals and co-productions. Hiring spans Singapore, the United States, South Korea and China.
Rakuten Viki runs on AWS with Apache Iceberg, EMR, Spark, Flink, Kafka, dbt, Airflow, DataHub and Looker. Its services use Go, Node.js, Ruby, Python and Scala, and its iOS apps are built with Swift, UIKit and SwiftUI.
Current projects include a data lakehouse build, self-serve analytics enablement, reverse ETL through Census, a scalable content management platform, and marketing for global content releases.
Rakuten Viki hires in Singapore, the United States, South Korea and China. Engineering is the main focus, alongside data, design and marketing roles.
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Rakuten Viki's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
