לוח משרות דרושים מתכנת backend

As a Senior Media Processing Backend Engineer, youll be part of Image team, working side by side with frontend and backend engineers. Youll contribute to feature development, code maintenance, and the operation of hundreds of production cloud servers.

The team is responsible for the core of main product. This includes the image transformation engines that process billions of requests per month (thousands of requests per second) and support all applications. Trusted by the worlds largest brands, our systems deliver high-fidelity media through flexible transformations with low bandwidth consumption and minimal latency.
Responsibilities
Develop and maintain 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
Youll 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.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.
This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.
Key Responsibilities:
Develop internal tools for various teams.
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.
Our Tech Stack:
Python, BigQuery, Redis, RabbitMQ, MySQL, Tornado, SQLAlchemy, Airflow, Airbyte, NewRelic, Elastic, Kubernetes (K8S).