Hinge runs a relationship-focused dating app on native iOS (Swift, SwiftUI) and Android (Kotlin, Jetpack Compose) clients backed by Go microservices, gRPC and Kafka on Kubernetes. Senior-heavy engineering hiring centers on recommendation systems: candidate retrieval, ranking, low-latency match serving and fairness work. A multi-cloud footprint (AWS, GCP, Azure) with Terraform and Argo CD points to a mature platform team.
Hinge is a New York-based dating app focused on helping singles move from matching to in-person dates and lasting relationships. The company is privately held and employs 201–500 people, with hiring concentrated in the United States. Its product spans native iOS and Android apps supported by backend services for matching, recommendations and monetization. Data work runs through Spark, Airflow, dbt and Looker, while machine learning and AI underpin how profiles are recommended to users.
Hinge uses Go, Python, Kafka, gRPC and Elasticsearch on Kubernetes across AWS, GCP and Azure, plus Swift/SwiftUI and Kotlin/Jetpack Compose for mobile, and Spark, Airflow, dbt and Looker for data.
Yes. Engineering dominates Hinge's open roles, skewed toward senior levels, with focus on recommendation engines, match-serving pipelines and microservices on Kubernetes in the United States.
Hinge is building its recommendation engine, candidate retrieval and ranking systems, match-serving pipelines, REST APIs for mobile clients and Kubernetes microservices, plus AI-enabled recruiting tools.
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Hinge'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.
