Grindr Tech Stack

AI-native social platform for the gay community with 15M+ monthly users

Software Development Los Angeles, California 51–200 employees Founded 2009 Public Company

Grindr operates a consumer social platform serving 15M+ monthly active users across 190+ countries, with AI and machine learning embedded throughout product decisions. The tech stack reflects a data-intensive, ML-first architecture: Redis, PostgreSQL, Kafka, and AWS for infrastructure; PyTorch, TensorFlow, and Keras for model training; Databricks and Snowflake for analytics. Active adoption of dbt, Apache Airflow, and Spark signals a shift toward more sophisticated data pipelines and workflow automation. Hiring skews heavily toward engineering and data talent, with the bulk of open roles at staff and senior levels—consistent with scaling production ML systems, moderation, and recommendation algorithms.

Tech Stack 67 technologies

Core StackRedis PostgreSQL Kafka AWS Java Kotlin Scala Kubernetes AWS Lambda Snowflake Apache Airflow Docker Helm Apache Spark PySpark Python PyTorch TensorFlow Databricks pandas Looker Tableau SIEM CloudTrail IAM VPC Keras GCP Jupyter Notebook SQL+36 more

Adoptingdbt Apache Airflow Apache Spark Databricks

What Grindr Is Building

◆Challenges

Detecting spam
Improving recommendations
Modernizing core systems
Improving moderation effectiveness
Improving automation and incident response
Streamlining processes
Automating ap processes
Centralizing business operations work streams
Maintaining high availability
Reliability improvement across platform

▲Active Projects

Scalable data platform for data scientists
Production model deployment
Recommendation system improvement
Ai/ml moderation systems
Automated model deployment workflows
Platform optimization with redis, postgresql, kafka
Core platform technologies implementation
Production-ready ml solutions
Llm conversation data processing
Workforce analytics reporting

Hiring Activity

Decelerating70 roles · 20 in 30d

Department

Engineering

Data

Product

Finance

Legal

Marketing

Ops

Seniority

Staff

Senior

Manager

Director

Lead

Principal

Intern

Notable leadership hires: Head of Privacy

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About Grindr

Grindr is a publicly traded consumer technology company headquartered in Los Angeles that connects the gay community through a mobile-first social platform. The product spans connections, social discovery, health, travel, and community features, monetized through subscriptions and advertising. With 15M+ monthly active users in 190+ countries, the company operates at significant scale. The platform relies heavily on machine learning for connection relevance, safety, personalization, and spam detection. Current focus areas include building scalable data infrastructure for internal data teams, improving recommendation systems, modernizing core platform systems, and developing production-ready ML solutions for moderation and automated workflows.

HeadquartersLos Angeles, California

Company Size51–200 employees

Founded2009

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Grindr use?

Grindr's core stack includes Redis, PostgreSQL, and Kafka for infrastructure; Java, Kotlin, and Scala for backend services; Kubernetes for orchestration; and PyTorch, TensorFlow, Keras for ML. Cloud infrastructure runs on AWS and GCP, with Snowflake and Databricks for data warehousing and analytics.

What is Grindr working on?

Active projects include building a scalable data platform for data scientists, improving recommendation systems, deploying production ML models, developing AI/ML moderation systems, automating model deployment workflows, and modernizing core platform infrastructure.