Radio Free Asia operates as a nonprofit journalism organization broadcasting and publishing original reporting in nine Asian languages to regions with limited independent media. The tech stack reveals infrastructure modernization underway: the organization is adopting Kubernetes while managing a mature data platform (Snowflake, BigQuery, dbt, Apache Airflow, Looker) alongside traditional enterprise systems (SAP, Salesforce, ServiceNow). Active hiring across engineering, support, and data roles suggests both operational scaling and a shift toward data-driven editorial and business operations.
RFA is a nonprofit news corporation funded through annual grants from the United States Agency for Global Media. The organization produces uncensored, in-depth journalism and distributes it via broadcast and digital channels in nine Asian languages—Mandarin, Tibetan, Burmese, Vietnamese, Korean, Lao, Khmer, Cantonese, and Uyghur—plus English and additional dialects. Based in Washington, DC, with a workforce of 201–500 employees, RFA operates both radio services and websites carrying original content. The organization serves audiences in countries where state-controlled or state-influenced media dominates, positioning independent reporting as its core mission.
RFA's platform includes Kubernetes, PostgreSQL, Snowflake, BigQuery, dbt, Apache Airflow, Databricks, Looker, Power BI, Salesforce, ServiceNow, SAP, and Informatica. The organization is actively adopting Kubernetes and maintains a modern data pipeline architecture.
RFA is actively recruiting across the United States, Japan, Canada, and India, reflecting both its editorial presence in Asia and distributed operational needs.
Radio Free Asia'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.