Cloud media platform for image and video management and delivery
Cloudinary runs an image and video management, transformation and delivery platform on AWS, fronted by a multi-CDN mix of Fastly, Cloudflare, Akamai and CloudFront. Job posts show a pivot toward AI agents as first-class users: MCP servers, an agent-first CLI and API-first provisioning, alongside work to eliminate silent agent failures. Finance hiring centered on forecasting and IPO-readiness scalability suggests the company is preparing its back office for public-market scrutiny.
Cloudinary, founded in 2012 and headquartered in San Jose, California, provides a cloud platform for managing, transforming, optimizing and delivering images and videos online. Its users span developers, creators and marketers, with capabilities across digital asset management, generative AI and composable architecture. The privately held company has 201–500 employees and currently hires in the United States. Engineering works in Python, Go, Rust, Ruby on Rails, Node.js and TypeScript, running on Kubernetes and AWS services such as Lambda, SQS and Athena.
Cloudinary uses Python, Go, Rust, Ruby on Rails, Node.js, TypeScript and React on AWS with Docker and Kubernetes, delivered via Fastly, Cloudflare, Akamai and CloudFront, monitored with Datadog, Coralogix and Kibana.
Current projects include MCP servers and an agent-first CLI, API-first account provisioning for AI agents, a more reliable agent media upload path, a moderation platform backend and high-throughput async pipelines.
Yes. Engineering is the main hiring focus, mostly senior and staff level in the United States, with finance, product and support roles alongside; overall hiring pace is slowing.
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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.