Private community platform connecting global users for relationships and collaboration
Raya operates a members-only social platform built on Node.js, PostgreSQL, and MongoDB, with a modern ML stack (PyTorch, TensorFlow, Transformers) powering recommendation engines. The company is actively hardening its security posture—adopting SAST and DAST tooling while scaling detection capabilities—and running concurrent initiatives around mobile app security, cloud IAM, and people recommendations, indicating a platform maturing from community-first toward infrastructure-first engineering.
Raya is a private online community platform founded in 2015, headquartered in Los Angeles and operating across seven global cities (Los Angeles, New York, London, Paris, Berlin, Barcelona, Mexico City). The platform connects members for relationships, friendships, and professional collaboration. Engineering is the largest department, followed by data and security teams, reflecting investment in recommendation algorithms, metrics infrastructure, and safety systems. The company operates at 51–200 employees and maintains a senior-heavy hiring profile across engineering, data, security, and support functions.
Backend: Node.js, Go, Python on PostgreSQL and MongoDB. Data: Kafka, Apache Spark, dbt, Elasticsearch/OpenSearch. ML: PyTorch, TensorFlow, Transformers. Infrastructure: Kubernetes. Frontend: iOS, JavaScript, TypeScript.
Peru and United States. Active roles span engineering (5 open), data (2), security (2), and support (1), with senior and lead-level positions dominating the candidate profile.
People recommendation engines, location-based map features, iOS application security review, safety policy development, scalable metrics dashboards, and new detection use cases. Recent focus areas include GDPR compliance, vulnerability management, and mobile app security hardening.
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