Dating platform matching 47M monthly users across 190 countries
Tinder operates a geographically distributed mobile dating platform at billion-match scale, built on Java, Scala, Python, and TypeScript across AWS, GCP, and Azure. The tech stack reflects mature distributed systems work: Kafka for event streaming, Elasticsearch for retrieval, DynamoDB and Redis for state, and Kubernetes for orchestration. Current focus areas—chemistry AI matchmaking, ML serving pipelines, and authentication architecture—signal investment in both product differentiation and infrastructure resilience at a company managing billions of daily data events.
Tinder is a public mobile dating platform operating in 190 countries with 47 million monthly active users and over 100 billion cumulative matches since launch. The product spans iOS and Android, with monetization across subscription tiers and advertising (Google Ads, Meta Ads Manager). Engineering, marketing, and product dominate the hiring mix, with active headcount velocity steady across US and international offices (Japan, South Korea, Belgium, Thailand). Pain points cluster around scaling media operations, optimizing analytics, and unlocking growth in specific geographies.
Tinder's backend runs Java, Scala, Python, TypeScript, and Go on AWS, GCP, and Azure. Data systems include Kafka, Elasticsearch, DynamoDB, Redis, and Apache Flink. Frontend is Android; infrastructure managed via Kubernetes and Terraform.
Tinder is headquartered in West Hollywood, California. Actively hiring in the United States, Japan, South Korea, Belgium, and Thailand.
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