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Cloudinary Tech Stack

Media management platform for images and video at scale

Technology, Information and Internet San Jose, California 201–500 employees Founded 2012 Privately Held
cloudinary.com LinkedIn

Cloudinary manages 80 billion digital assets for over 11,000 customers across media transformation, optimization, and delivery. The tech stack reveals a mature, distributed systems approach: AWS infrastructure (Lambda, SQS, Kinesis, EKS) paired with Ruby on Rails and Go backends, PostgreSQL + Aurora databases, and observability depth (Datadog, Kibana, Coralogix, Rollbar). Current hiring emphasizes senior engineers and staff-level roles across product and engineering—suggesting infrastructure scaling and feature complexity rather than headcount expansion. Shopify integration is a major active workstream, indicating platform strategy toward e-commerce workflows.

Tech Stack 105 technologies

Core StackNetSuite Salesforce Ruby on Rails AWS React TypeScript Go Docker Kubernetes Datadog CloudWatch AWS Lambda Akamai Python PostgreSQL Temporal JavaScript Planful Kibana Coralogix CloudTrail Rollbar Athena AWS SQS Kinesis AWS EKS Aurora IAM VPC autoscaling+72 more
AdoptingWorkday HiBob

What Cloudinary Is Building

◆Challenges

  • Scaling high-performing visual experiences
  • Reliability and supportability
  • Shopify-native app integration
  • System workload optimization
  • Reducing bandwidth consumption
  • Creating revenue opportunities
  • Complex compliance landscapes
  • Accelerating pipeline
  • Performance and cost efficiency of queries
  • Improving collections processes

▲Active Projects

  • Business plan for growth
  • Main transformation services
  • Admin extensions and theme components
  • Shopify integration architecture
  • Assetlink shopify app
  • Image processing pipelines
  • Custom transformations
  • Annual operating plan (aop) process
  • Budget vs. actual (bva) and forecast vs. actual (fva) reporting
  • Sql-heavy data pipelines and airflow dags

Hiring Activity

Accelerating40 roles · 35 in 30d

Department

Engineering
14
Marketing
6
Product
5
Finance
4
Sales
4
Data
2
HR
2
Support
2

Seniority

Senior
13
Staff
8
Director
6
Mid
5
Principal
3
VP
2
Junior
1
Manager
1

Notable leadership hires: Managing Director, Chief of Staff

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About Cloudinary

Cloudinary is a media management and delivery platform founded in 2012, headquartered in San Jose with 201–500 employees. The product suite spans digital asset management (DAM), image and video transformation, and CDN-backed delivery, serving developers, creators, and marketers. The company manages over 80 billion assets for 11,000+ customers and three million end users. Engineering and product dominate the hiring mix, with notable projects underway around Shopify integration architecture, image processing pipelines, and data pipeline optimization. Pain points cluster around scaling performance, reducing bandwidth costs, and complex compliance requirements.

HeadquartersSan Jose, California
Company Size201–500 employees
Founded2012
Hiring MarketsIsrael, United States, United Kingdom

Frequently Asked Questions

What tech stack does Cloudinary use?

Backend: Ruby on Rails, Go, Python. Cloud: AWS (Lambda, SQS, Kinesis, EKS, Aurora, RDS). Observability: Datadog, Kibana, Coralogix, Rollbar. Frontend: React, TypeScript. Orchestration: Kubernetes, Docker. Database: PostgreSQL, Aurora.

What is Cloudinary working on?

Active projects: Shopify integration architecture and native app, image processing pipelines, custom transformation services, SQL-heavy data pipelines with Airflow, and business scaling initiatives. Internal focus on system reliability and cost efficiency.

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How this profile is built

Cloudinary'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.