Job Title

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 bold; we debate and commit as we embrace plot twists; and every employee is empowered to take action as we prioritize the customer. We believe in balancing individual flexibility and community connections. Through our flexible work benefit, Scribd Flex , employees can choose the daily workstyle that best suits their needs. Occasional inperson attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? We hire for ''''GRIT'''' the intersection of passion and perseverance toward longterm goals. We seek individuals who set and achieve G oals, reach R esults, bring I nnovative ideas, and positively influence the broader T eam through collaboration and attitude. 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, billions of images, and deliver highquality metadata to enable content discovery and trust for millions of users worldwide. Our systems operate at massive scale, supporting diverse datasets like usergenerated 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 LLMpowered solutions in production. Role Overview Were seeking a Software Engineer II with deep experience building eventdriven, distributed, and scalable systems in Python. In this role, youll design and optimize largescale data and service pipelines running on AWS, supporting Scribds content enrichment and metadata systems. Youll work closely with crossfunctional teams to design reliable backend services that integrate machine learning models and LLMbased components when needed. This role offers the opportunity to work on cuttingedge 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 for eventdriven and distributed processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability. Key Responsibilities Design and implement eventdriven, distributed systems to extract, enrich, and process metadata from largescale document and media datasets. Build and maintain scalable APIs and backend services for highthroughput content processing. Leverage AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch) to design and deploy resilient, highperformance systems. Collaborate with crossfunctional teams to deliver backend solutions that power MLdriven 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 in Python or distributed systems development. Strong proficiency in Python (3+ years); experience with Scala is a plus. Proven experience designing and building eventdriven, distributed, and scalable systems. Handson experience with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.). Experience with infrastructureascode tools like Terraform. Solid understanding of system performance, profiling, and optimization. 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 LLMbased models into production systems. Compensation In the United States, the base pay is determined within a range based on local cost of labor benchmarks. For the San Francisco market, the range is $126,000 to $196,000. In other U.S. markets, the range is $103,500 to $186,500. In Canada, the range is $131,500 CAD to $174,500 CAD. This position is also eligible for competitive equity ownership and a comprehensive benefits package. Benefits, Perks, and Wellbeing At Scribd Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Shortterm/longterm disability plans 401(k)/RSP matching Onboarding stipend for home office peripherals + accessories Learning & Development allowance and programs Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd Inc. suite of products Referral Bonuses Book Benefit Sabbaticals Companywide events Team engagement budgets Vacation & Personal Days Paid Holidays (+ winter break) Flexible Sick Time Volunteer Day Companywide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: free access to bestinclass AI tools. Working At Scribd, Inc. Employees must have their 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. Want to Learn More About Life at Scribd? Visit LinkedIn or email [email protected] if you require adjustments in the interview process. We want our interview process to be accessible to everyone. Let us know how we can provide reasonable adjustments. 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 from all backgrounds to apply. #J-18808-Ljbffr