Software Engineer - Backend (Python)

About the role

The ML Data Engineering team at Scribd, Inc. powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high-quality metadata to enable content discovery and trust for millions of users worldwide. Our systems operate at massive scale, supporting diverse datasets like user-generated content (UGC), ebooks, audiobooks, and more. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM-powered solutions in production.

Responsibilities

• Design and implement event-driven, distributed systems to extract, enrich, and process metadata from large-scale document and media datasets.
• Build and maintain scalable APIs and backend services for high-throughput content processing.
• Leverage AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch) to design and deploy resilient, high-performance systems.
• Collaborate with cross-functional teams to deliver backend solutions that power ML-driven features.
• Optimize and refactor existing backend systems for scalability, reliability, and performance.
• Ensure system health and data integrity through monitoring, observability, and automated testing.

Requirements

• 5+ years of professional software engineering experience on Python or distributed systems development.
• Strong proficiency in Python (3+ years).
• Experience with Scala is a plus.
• Proven experience designing and building event-driven, distributed, and scalable systems.
• Hands-on experience with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.).
• Solid understanding of system performance, profiling, and optimization.
• Bachelor’s degree in Computer Science or equivalent professional experience.
• Bonus: Familiarity with data processing frameworks (Spark, Databricks) and workflow orchestration tools.
• Bonus: Experience integrating ML or LLM-based models into production systems.

Pay

The reasonably expected salary range for this position is between $103,500 [minimum salary in our lowest US geographic market outside of California] to $186,500 [maximum salary in our highest US geographic market outside of California].

Schedule

This position is eligible for a competitive equity ownership and a comprehensive and generous benefits package, including Scribd Flex (flexible work model), comprehensive health, dental, and vision coverage, mental health support and disability coverage, generous paid time off, retirement matching and employee equity, learning and development programs and professional growth opportunities, wellness and home office stipends, complimentary access to the Scribd, Inc. suite of products, enterprise access to leading AI tools, and more.