Responsibilities
- 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 research group, open source, or commercial solutions.
- 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 processing pipelines, including open source, commercial, and in-house. 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 will work closely with both in-house and open-source processing tools, such as FFmpeg and ImageMagick.
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, Knowledgeable, with experience in image or video processing, is a strong advantage
- Experience with cloud technologies, preferably AWS
- Data-driven mindset, using insights from monitoring and data warehouse tools to guide development.
Top Skills
What We Do
Cloudinary’s mission is to empower companies to deliver visual experiences that inspire and connect by unleashing the full potential of their media. With more than 50 billion assets under management and 7,500 customers worldwide, Cloudinary is the industry standard for developers, creators and marketers looking to upload, store, transform, manage, and deliver images and videos online. As a result, leading brands like Atlassian, Bleacher Report, Grubhub, Hinge, NBC, Mediavine, Peloton, Petco and Under Armour are seeing significant business value in using Cloudinary, including faster time to market, higher user satisfaction, and increased engagement and conversions. For more information, visit www.cloudinary.com.







