Senior Backend Engineer (Python) - Content UnderstandingScribd • San Francisco, California, United States

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Senior Backend Engineer (Python) - Content Understanding

Scribd

San Francisco, California, United States

San Francisco, California, United States

Apply Now

About

Overview Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Scribd values a culture where employees are real and bold, where we debate and commit, and where every employee is empowered to take action with a customer-first mindset. Scribd Flex enables employees to choose the workstyle and location that support their best performance, while committing to in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all employees, regardless of location. This posting reflects an approved, open position within the organization. About the team The ML Content Understanding team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents and billions of images to deliver high-quality metadata for content discovery and trust for millions of users worldwide. Role Overview We’re seeking a Senior Software Engineer with deep experience building event-driven, distributed, and scalable systems in Python. You will design and optimize large-scale data and service pipelines on AWS, supporting Scribd’s content enrichment and metadata systems. You’ll collaborate with cross-functional teams to design reliable backend services that integrate machine learning models and LLM-based components when needed. This role offers the opportunity to work on cutting-edge generative AI and metadata enrichment problems at a global scale. Tech Stack Backend systems are primarily built in Python, leveraging AWS services such as Lambda, ECS, SQS, and ElastiCache for event-driven processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability. Key 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). Experience with Scala is a plus. Expertise in designing and architecting large-scale event-driven and distributed systems. Strong cloud expertise with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.). Experience with infrastructure-as-code tools like Terraform. 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. Compensation and Benefits At Scribd, base pay is part of total compensation and is determined within a range based on location and role. Salary ranges are provided for the following regions: California, United States outside California, and Canada. The position is eligible for a competitive equity package and a comprehensive benefits program. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Primary residence should be in or near listed cities in the United States, Canada, or Mexico as appropriate for the role. Equal Opportunity and Accessibility We are committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply.
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San Francisco, California, United States

Languages

English

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