Tango operates a mobile-first live-streaming platform serving 400M+ downloads across iOS and Android. The tech stack reveals a mature backend: Kafka, Bigtable, BigQuery, and microservices architecture on Kubernetes, paired with a React web layer and Kotlin/Jetpack Compose mobile clients. Active hiring is concentrated in engineering (14 roles), with projects spanning high-load microservices, legacy codebase rewrites, and an AI lifecycle management platform—pointing to both scale-driven infrastructure work and emerging AI-driven features.
Tango is a social live-streaming application where creators broadcast to audiences, monetize content, and discover new entertainment in real-time. The platform operates globally with offices across Ukraine, Cyprus, Poland, Israel, and the UAE. The engineering organization is managing the operational load of a high-traffic mobile application while modernizing older code systems and building new AI-integrated tooling. Key operational challenges include balancing deployment velocity against stability at scale, maintaining mobile user retention, and handling compliance complexity across multiple tax jurisdictions.
Tango uses Android/iOS (Kotlin, Jetpack Compose, Java), a backend on Spring with Kafka and Redis, data infrastructure (BigQuery, Bigtable, Pub/Sub), and a React/TypeScript web frontend. Testing tools include Mockito, WireMock, and Testcontainers; CI/CD via GitLab and Jenkins.
Current projects include AI testing integration, high-load backend microservices, legacy codebase rewrites, an AI lifecycle management platform, monitoring/analytics services, and a React-based web application for mobile-first access.
Tango'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.