Tango runs a global social live-streaming app backed by a Java/Spring, Kafka and Redis backend on GCP, with BigQuery, Dataflow and Vertex AI powering its data and ML layer. Adoption of Argo CD, Argo Rollouts, Envoy and VictoriaMetrics points to a push toward progressive delivery and better observability, matching pain points around high availability and multi-cloud scaling. Senior-heavy engineering hiring centers on LLM agents and AI cost controls.
Tango operates a social live-streaming app where users meet new people, watch live content and discover creators, supported by an in-app digital economy. The company reports more than 400 million downloads worldwide. It is privately held, headquartered in Mountain View, CA, and has 201–500 employees. Offices span Kyiv, Limassol, Warsaw, Dubai and Tel Aviv, and current hiring is concentrated in Cyprus, Poland and Ukraine across engineering, product, data and security.
Tango runs Java and Spring with MySQL, Kafka and Redis on GCP, plus BigQuery, Dataflow, Pub/Sub and Vertex AI for data and ML, with PyTorch, TensorFlow and LangChain in the AI toolkit.
Tango is hiring in Cyprus, Poland and Ukraine, mostly senior engineering and product roles, with additional data and security openings.
Tango is building LLM-based AI agents, cost-control guardrails for AI services, AI-driven cost analytics, a high-load React web app and CI/CD pipelines, while adopting Argo CD and Envoy.
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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.