Backend Software Engineer (Python) at Scribd

Scribd offers Scribd Flex, allowing employees in partnership with their manager to choose a daily work-style that suits their needs, balancing individual flexibility and community connections. Occasional in-person attendance is required for all employees to build collaboration, culture, and connection, regardless of location.

The role requires deep experience building event-driven, distributed, and scalable systems in Python, designing and optimizing large-scale data and service pipelines on AWS, and working with backend services that integrate machine learning models and LLM-based components.

Scribd supports a culture where employees can be real and bold, debate and commit while embracing plot twists, and are empowered to take action prioritizing the customer. They hire for GRIT, emphasizing Goals, Results, Innovation, and Team collaboration.

The role is on the ML Data Engineering team, which powers metadata extraction, enrichment, and content understanding across Scribd brands, processing massive scale data like hundreds of millions of documents and billions of images, while collaborating with applied research and product teams.

A strong candidate demonstrates GRIT by setting and achieving Goals, delivering Results, contributing Innovative ideas, and positively influencing the Team, along with deep Python experience in building scalable, event-driven systems at massive scale.