Cloudinary was founded in 2012 to solve a simple problem: making it an easy platform to manage images & videos. Over the years we evolved into a $120 million+ annual recurring revenue business serving 10,000 companies across industries – from the smallest Shopify stores to iconic brands like Nike and other worldwide companies.

Cloudinary is now the foundational technology for all images and videos on the internet. Only we provide robust, flexible, and intelligent solutions for every business in the world to harness the power of visual media to tell its story. As a single source of truth for brands’ image and video needs, we also provide a comprehensive array of APIs and integrations to transform every brand into a masterful visual storyteller.

If images and video are the electricity powering the new digital world, Cloudinary is the power grid: enabling anyone to easily plug in and “light up” their business with high-impact visual media, without worrying about the science behind the electrical current.

As a Senior Media Processing Backend Engineer, you'll join Cloudinary’s core team of four highly skilled backend engineers and a visual QA engineer.

Together, we develop features, maintain existing code, and manage over 300 production cloud servers.

The team is responsible for the core of Cloudinary’s main product, which generates over $100M ARR. This includes the video transformation, image transformation, and deep learning engines. These engines process 5 billion requests/mo (:2000 requests/sec). It serves the various Cloudinary applications. The world’s biggest brands are our customers. They rely on us to serve the media for the websites in a variety of modular transformations, high fidelity media, low bandwidth, and low latency.

Responsibilities:

• Develop video transformations and streaming using FFMPEG, including HLS and DASH, as well as advanced filters and codecs
• Develop and maintain Cloudinary's main transformation services in Ruby on Rails
• Optimize system workload, time, and cost
• Develop custom transformations using building blocks from the CTO office, open source, or commercial solutions
• Manage parallel live processing of video streams using microservices
• Contribute to the ongoing development of our Deep Learning platform, mainly in Python
• Provide 2nd tier support for our code and participate in team and company-wide on-call rotations
• Address internal customer inquiries and complex questions
• Maintain and update image and video codecs and filters, including open source, commercial, and homegrown codecs. Mainly C++
  
  
  
  

Technologies:

• You'll develop in Ruby on Rails, C++, Python, Go, Typescript, and a bit of Rust, leveraging AWS, Kubernetes (EKS), and Lambda infrastructure.
• You'll also use FFMPEG and ImageMagick for media processing
  
  
  
  

Qualifications:

• We're looking for a highly skilled backend engineer with at least 8 years of experience or exceptional talent.
• You should be self-propelled, independent, sharp, smart.
• knowledgeable, with experience in image or video processing is a strong advantage
• Additionally, expertise in cloud technologies (preferably AWS) and data-driven development or analyzing large data sets using tools like Kibana/DataDog is highly valued
  
  
  
  

Cloudinary is proud to be an equal opportunity employer dedicated to pursuing a diverse workforce.