Senior Software Engineer (Python + Distributed systems)

About the role

The ML Data Engineering team at Scribd, Inc. is responsible for powering metadata extraction, enrichment, and content understanding across all Scribd brands. Our systems 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.

Responsibilities

• Provide technical leadership, mentorship, and guidance to engineers across the organization, driving secure coding best practices.
• Lead the design, implementation, and scaling of event-driven, distributed systems to extract, enrich, and process metadata from large-scale document and media datasets.
• Partner with Data Science, Infrastructure, ML Engineering, and Product teams to architect and deliver robust systems that balance scalability, high performance, and rapid iteration.
• Contribute to the team’s engineering strategy, identifying gaps, proposing new initiatives, and improving existing frameworks.
• 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.
• Optimize and refactor existing backend systems for scalability, reliability, and performance.
• Ensure system health and data integrity through monitoring, observability, and automated testing.

Requirements

• 7+ years of professional software engineering experience with a focus on backend or distributed systems development.
• Strong proficiency in Python (5+ years).
• Expertise in designing and architecting large-scale event-driven and distributed systems.
• Strong cloud expertise with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.).
• Solid understanding of system performance, profiling, and optimization.
• Experience leading technical projects and mentoring engineers.
• 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 role is between $120,000 [minimum salary in our lowest US geographic market outside of California] to $217,000 [maximum salary in our highest US geographic market outside of California].

Benefits

• Scribd Flex (flexible work model)
• Comprehensive health, dental, and vision coverage
• Mental health support and disability coverage
• Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
• Paid parental leave and family support benefits
• Retailer 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