Scribd, Inc.
About The Company
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. We create a world of stories and knowledge, democratizing the exchange of ideas and information, and empowering collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where employees can be real, bold, debate, commit, embrace plot twists, and prioritize the customer. Our flexible work benefit, Scribd Flex, lets employees and managers choose the daily work‑style that best suits their needs while ensuring intentional in‑person moments to build collaboration, culture, and connection. Occasional in‑person attendance is required for all Scribd employees, regardless of location. We hire for “GRIT”—the intersection of passion and perseverance toward long‑term goals—and we look for individuals who demonstrate the ability to set and achieve
G oals, deliver
R esults, contribute
I nnovative ideas and solutions, and influence the broader
T eam positively. 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, delivering high‑quality metadata that enables content discovery and trust for millions of users worldwide. Our systems operate at massive scale, supporting diverse datasets such as user‑generated content, e‑books, and audiobooks. We collaborate with applied research and product teams to deploy scalable ML and LLM‑powered solutions in production. Role Overview
We’re seeking a Software Engineer II with deep experience building event‑driven, distributed, and scalable systems in Python. In this role, you’ll design and optimize large‑scale data and service pipelines running on AWS, supporting Scribd’s content enrichment and metadata systems. You’ll 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 for event‑driven and distributed processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability. Key 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.). Experience with infrastructure‑as‑code tools like Terraform. 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. Compensation
In the United States, the reasonably expected salary range for San Francisco (our highest geographic market in the U.S.) is between $126,000 and $196,000. Outside California, it ranges from $103,500 to $186,500. In Canada, the range is between $131,500 CAD and $174,500 CAD. Salary ranges are based on local cost of labor benchmarks and may vary by level. This position also includes a competitive equity ownership and a comprehensive benefits package. 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 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 + accessories Learning & Development allowance Learning & Development 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 Company‑wide events Team engagement budgets Vacation & Personal Days Paid Holidays (including winter break) Flexible Sick Time Volunteer Day Company‑wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: free access to best‑in‑class AI tools to boost productivity, streamline workflows, and accelerate bold innovation. Accessibility & Support
We want our interview process to be accessible to everyone. If you need reasonable adjustments at any point in the interview process, please email accommodations@scribd.com. EEO Statement
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. Want to learn more about life at Scribd?
https://www.linkedin.com/company/scribd/life
#J-18808-Ljbffr
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. We create a world of stories and knowledge, democratizing the exchange of ideas and information, and empowering collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where employees can be real, bold, debate, commit, embrace plot twists, and prioritize the customer. Our flexible work benefit, Scribd Flex, lets employees and managers choose the daily work‑style that best suits their needs while ensuring intentional in‑person moments to build collaboration, culture, and connection. Occasional in‑person attendance is required for all Scribd employees, regardless of location. We hire for “GRIT”—the intersection of passion and perseverance toward long‑term goals—and we look for individuals who demonstrate the ability to set and achieve
G oals, deliver
R esults, contribute
I nnovative ideas and solutions, and influence the broader
T eam positively. 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, delivering high‑quality metadata that enables content discovery and trust for millions of users worldwide. Our systems operate at massive scale, supporting diverse datasets such as user‑generated content, e‑books, and audiobooks. We collaborate with applied research and product teams to deploy scalable ML and LLM‑powered solutions in production. Role Overview
We’re seeking a Software Engineer II with deep experience building event‑driven, distributed, and scalable systems in Python. In this role, you’ll design and optimize large‑scale data and service pipelines running on AWS, supporting Scribd’s content enrichment and metadata systems. You’ll 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 for event‑driven and distributed processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability. Key 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.). Experience with infrastructure‑as‑code tools like Terraform. 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. Compensation
In the United States, the reasonably expected salary range for San Francisco (our highest geographic market in the U.S.) is between $126,000 and $196,000. Outside California, it ranges from $103,500 to $186,500. In Canada, the range is between $131,500 CAD and $174,500 CAD. Salary ranges are based on local cost of labor benchmarks and may vary by level. This position also includes a competitive equity ownership and a comprehensive benefits package. 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 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 + accessories Learning & Development allowance Learning & Development 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 Company‑wide events Team engagement budgets Vacation & Personal Days Paid Holidays (including winter break) Flexible Sick Time Volunteer Day Company‑wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: free access to best‑in‑class AI tools to boost productivity, streamline workflows, and accelerate bold innovation. Accessibility & Support
We want our interview process to be accessible to everyone. If you need reasonable adjustments at any point in the interview process, please email accommodations@scribd.com. EEO Statement
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. Want to learn more about life at Scribd?
https://www.linkedin.com/company/scribd/life
#J-18808-Ljbffr