Work on our backend stack consisting of several micro services that implements deep learning algorithms to video encoding engines.
Build APIs that connect these services to each other, to our app and other interfaces.
Setup monitors, Watch out for metrics and errors, and fix production issues, and target on running a smooth experience.
Work with the parties who are at the end of your services, the app devs or the data scientists, to ensure that you architect every service and every feature in the best possible way.
Work on our video encoding engine, and make the fastest video encoder world has seen yet.
Experience writing code in Typescript/Python.
Extensive building and maintaining micro services.
Experience with technologies with FFMPEG, OpenCV etc for the video encoding part.
Our backend stack:
NextJS application deployed on Vercel.
3 additional micro services written in python and node js, deployed in AWS fargate.
Databases: Dynamodb, MySQL and MongoDB.
Other services involved: Sagemaker, S3 SQS, SNS, ECS, ECR.
Monitoring services: Datadog.
CI/CD: Github Actions, AWS Codepipeline.
How we work:
Team: you are humble, open to challenge, and like to help others grow. The most important is the progress of the team and the product.
Impact: you can prioritize your time to build what will give users superpowers or wow them.
Learning: learning and sharing knowledge makes you happy. At Blend, this holds true as a team, with machine learning, and with our users.
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