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Senior Backend Engineer (Python + Distributed systems)
Scribd
- United States
- United States
About
at
Scribd, Inc. About The Company
At Scribd (pronounced scribbed), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe in balancing individual flexibility with community connections. Scribd Flex gives employees in partnership with their manager the opportunity to choose a daily work style that best suits their individual needs. Occasional in-person attendance is required for all employees, regardless of location. We hire for GRIT demonstrating passion, perseverance, the ability to set and achieve Goals, Results, Innovative ideas, and a positive influence on the team. About The Team
The ML Data Engineering 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 millions of users worldwide. Our systems operate at massive scale, supporting diverse datasets like user?generated content, 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. Role Overview
Were seeking a Senior Software Engineer with deep experience building event?driven, distributed, and scalable systems in Python. In this role, youll design and optimize large?scale data and service pipelines running on AWS, supporting Scribds content enrichment and metadata systems. Youll work closely 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 truly global scale. Tech Stack
Our backend systems are primarily built in Python, leveraging AWS services such as Lambda, ECS, SQS, and ElastiCache. 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 teams 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 focused 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. Bachelors 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
In the United States, salary ranges vary by location. In California (San Francisco market): $146,500 to $228,000. Outside California: $120,000 to $217,000. In Canada: $153,000?CAD to $202,000?CAD. Equitable equity ownership and a comprehensive benefits package apply. Working at Scribd, Inc. Locations
Employees must have a primary residence in or near one of the following cities: United States: Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C. Canada: Ottawa, Toronto, Vancouver. Mexico: Mexico City.
Benefits, Perks, and Wellbeing at Scribd
Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees. 12 weeks paid parental leave. Short?term/long?term disability plans. 401k/RSP matching. Onboarding stipend for home office peripherals. Learning & Development allowance and programs. Quarterly stipend for wellness, Wi?Fi, etc. Mental health support & resources. Free subscription to the Scribd suite of products. Referral bonuses. Book benefit. Sabbaticals. Company?wide events. Team engagement budgets. Vacation & personal days. Paid holidays (plus winter break). Flexible sick time. Volunteer day. Employee Resource Groups and programs fostering an inclusive and diverse workplace. Free access to AI tools to boost productivity and innovation.
We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com. Scribd is 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 and believe that a diversity of perspectives and experiences creates a foundation for the best ideas. Come join us in building something meaningful. #J-18808-Ljbffr
Languages
- English
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