Cloud video management platform for security, operations, and IoT integration
Safie operates a cloud-based video management system serving Japanese enterprises across security, operations, and emerging use cases. The stack reveals a data-heavy infrastructure (Snowflake, Redshift, BigQuery, Databricks, dbt, Looker) paired with active projects in cloud recording architecture and data vault redesign — suggesting internal focus on cost optimization and scaling storage layers. Engineering dominates hiring (17 of 35 active roles), aligned with infrastructure challenges around recording service scaling and legacy system replacement.
Safie is a public company in Japan building a cloud video management platform. The product ingests video streams from cameras and IoT devices, stores them in cloud infrastructure, and provides tools for retrieval, analysis, and integration. Use cases span security/surveillance, operational monitoring, and marketing applications. The company is scaling internationally (overseas expansion noted in active projects) while modernizing its data architecture (dimensional modeling, data vault 2.0) and expanding CRM capabilities. Current scale: 501–1,000 employees, headquartered in Shinagawa, Tokyo.
Safie's stack spans cloud platforms (AWS, GCP, Azure), data warehouses (Snowflake, Redshift, BigQuery), analytics (Tableau, Looker, Redash), transformation (dbt, AWS Glue), backend (Python, Java, JavaScript), and frontend (React, Vue, Angular).
Active projects include cloud recording architecture design, camera viewer API development, data platform modernization (data vault 2.0), CRM system expansion, no-code data integration tools, and international expansion.
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