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Raya Tech Stack

Private social network connecting people for relationships, friendship, and collaboration

Technology, Information and Internet Los Angeles, CA 51–200 employees Founded 2015 Privately Held

Raya operates a membership-based social platform focused on facilitating real-world connections across relationships, friendship, and professional collaboration. The tech stack reveals a dual-layer architecture: modern identity and device management (Okta, Kandji, Fleet) paired with ML-heavy backend infrastructure (PyTorch, TensorFlow, Kafka, Spark, Elasticsearch). Active projects center on recommendation systems, embedding-based retrieval, and ranking pipelines—indicating the core product challenge is surfacing high-signal matches at scale. Hiring velocity is accelerating with senior-level roles concentrated in engineering and data, suggesting investment in ML infrastructure to handle growth in matching quality.

Tech Stack 32 technologies

Core StackOkta Slack Jira Python Zendesk Go Node.js PostgreSQL MongoDB Elasticsearch JavaScript TypeScript dbt PyTorch TensorFlow Kubernetes Kafka Apache Spark Kandji Fleet 1Password Infisical Notion iBoss Bash Jira Service Management OpenSearch iOS Shodan Transformers

What Raya Is Building

Challenges

  • Conditions that cause problems
  • Device reliability
  • Security baseline maintenance
  • Scaling recommendation systems for growth
  • High-volume data pipelines

Active Projects

  • Automated onboarding workflows
  • Self-healing scripts
  • Ai-powered knowledge base
  • Product testing and support quality assurance during new releases
  • Support data analysis for actionable insights
  • Recommendation system backend
  • Machine learning model deployment
  • Multi-stage retrieval and ranking system
  • Embedding-based retrieval and graph-aware ranking
  • Offline + online experiments

Hiring Activity

Accelerating6 roles · 5 in 30d

Department

Engineering
3
Support
2
Data
1

Seniority

Senior
3
Manager
1
Mid
1
Staff
1
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About Raya

Founded in 2015, Raya is a private membership community designed for global citizens seeking life partners, friendships, and professional collaborations. The platform operates with strict curation and privacy controls, enabled by a tech stack spanning device lifecycle management (Kandji, Fleet), identity (Okta), and backend services in Python, Go, and Node.js. The company maintains engineering and support presence across Los Angeles, New York, London, Paris, Berlin, Barcelona, and Mexico City. Current focus areas include scaling recommendation systems, improving device reliability, and maintaining security baselines—operational concerns typical of a consumer network managing high trust requirements.

HeadquartersLos Angeles, CA
Company Size51–200 employees
Founded2015
Hiring MarketsUnited States, Peru

Frequently Asked Questions

What tech stack does Raya use?

Backend: Python, Go, Node.js, PostgreSQL, MongoDB, Elasticsearch. Data pipeline: Kafka, Apache Spark, dbt. ML: PyTorch, TensorFlow, Transformers. DevOps: Kubernetes. Identity: Okta, 1Password. Device management: Kandji, Fleet.

What countries does Raya hire in?

Raya hires in the United States and Peru. Office locations span Los Angeles, New York, London, Paris, Berlin, Barcelona, and Mexico City.

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How this profile is built

Raya'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.