Senior Media Processing Backend Engineer

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 and maintain Cloudinary's main transformation services in Ruby on Rails.
Maintain and update image and video codecs and filters, including open source, commercial, and homegrown codecs. Mainly C++
Develop video transformations and streaming using FFMPEG, including HLS and DASH, and advanced filters and codecs.
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.
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, and knowledgeable, with experience in image or video processing.
Additionally, expertise in cloud technologies (preferably AWS) and data-driven development or analyzing large data sets using tools like Kibana/DataDog is highly valued.
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