Scribd, Inc.
Overview
Backend Software Engineer (Python) role 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. Scribd Flex provides flexible work options in partnership with management, with a focus on 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 ability to set and achieve goals, achieve results, contribute innovative ideas, and positively influence the team through collaboration and attitude. 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
At Scribd, your base pay is one part of your total compensation package and is determined within a range. The salary ranges vary by location and level. In California, the typical range is $126,000 to $196,000. Outside California, the range is $103,500 to $186,500. In Canada, the range is $131,500 CAD to $174,500 CAD. We consider experience, skills, education, and business needs, and applicable equity and benefits are part of the package. Working at Scribd
Are you currently based in a location where Scribd is able to employ you? Primary residence should be in or near one of the listed cities (US, Canada, Mexico) within a typical commuting distance. Benefits, Perks, And Wellbeing
Benefits/perks listed may vary by location. 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 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 Company-wide events and team engagement budgets Vacation & Personal Days, Paid Holidays (+ winter break) Flexible Sick Time and Volunteer Day Inclusive workplace and access to AI tools Equal Employment Opportunity
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 and believe diversity strengthens our ideas. Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development
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Backend Software Engineer (Python) role 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. Scribd Flex provides flexible work options in partnership with management, with a focus on 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 ability to set and achieve goals, achieve results, contribute innovative ideas, and positively influence the team through collaboration and attitude. 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
At Scribd, your base pay is one part of your total compensation package and is determined within a range. The salary ranges vary by location and level. In California, the typical range is $126,000 to $196,000. Outside California, the range is $103,500 to $186,500. In Canada, the range is $131,500 CAD to $174,500 CAD. We consider experience, skills, education, and business needs, and applicable equity and benefits are part of the package. Working at Scribd
Are you currently based in a location where Scribd is able to employ you? Primary residence should be in or near one of the listed cities (US, Canada, Mexico) within a typical commuting distance. Benefits, Perks, And Wellbeing
Benefits/perks listed may vary by location. 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 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 Company-wide events and team engagement budgets Vacation & Personal Days, Paid Holidays (+ winter break) Flexible Sick Time and Volunteer Day Inclusive workplace and access to AI tools Equal Employment Opportunity
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 and believe diversity strengthens our ideas. Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development
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