Rakuten Viki operates a streaming service for Asian dramas, films, and music distributed across 190+ countries to over 40 million users. The tech stack is infrastructure-heavy—GCP, Kubernetes, Kafka, Spark Streaming, Airflow—reflecting the complexity of serving high-volume video at global scale. Current hiring velocity is accelerating with engineering roles dominating, and active projects span dubbing automation, GCP infrastructure optimization, and AI agent development, suggesting the company is automating manual content workflows and moving toward intelligent production systems.
Rakuten Viki is a streaming platform owned by Rakuten Group, the largest ecommerce company in Japan. The service focuses on subtitled Asian entertainment—dramas, movies, music—with over 1 billion words translated by a community of fan-translators. Content reaches 190+ countries and includes original productions (Viki Originals), co-productions with Asian and Hollywood studios, and K-entertainment community properties. The company also operates a creator studio for short-form content. Viki is headquartered in San Mateo with engineering and data operations spanning Singapore, South Korea, and the United States.
Viki's core infrastructure runs on GCP and AWS with Kubernetes orchestration, Kafka for streaming, and Apache Spark/Flink for data processing. Client apps use Android TV, Fire TV, and Swift/SwiftUI. Data pipelines use Airflow, Hive, and Hadoop; analytics use Tableau, Looker, and QlikView.
San Mateo, California. Engineering and data teams also operate in Singapore and South Korea to support content operations and localization workflows across Asia.
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.