Scribd, Inc.
Senior Backend Engineer (Python + Distributed systems)
Scribd, Inc., Atlanta, Georgia, United States, 30383
Senior Backend Engineer (Python + Distributed systems)
Scribd, Inc.
About the Company At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Our four products—Everand, Scribd, Slideshare, and Fable—provide a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise. We cultivate a culture where employees can be authentic, bold, and collaborative, with a focus on customer prioritization and intentional in‑person moments through Scribd Flex.
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 that drives content discovery for millions of users worldwide. Our systems operate at massive scale, supporting UGC, ebooks, audiobooks, and more, and we collaborate closely with research and product teams to deploy scalable ML and LLM‑powered solutions.
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, support Scribd’s content enrichment and metadata systems, and partner with cross‑functional teams to integrate machine learning models and LLM components. This role offers an opportunity to work on cutting‑edge generative AI and metadata enrichment problems at a truly global scale.
Tech Stack Python, AWS Lambda, ECS, SQS, ElastiCache, Airflow, Spark, Databricks, Terraform, Datadog.
Key Responsibilities
Provide technical leadership and mentorship across the organization, advocating secure coding best practices.
Design, implement, and scale event‑driven, distributed systems for large‑scale metadata extraction and enrichment.
Partner with Data Science, Infrastructure, ML Engineering, and Product teams to deliver robust, scalable systems.
Contribute to engineering strategy, identify gaps, propose initiatives, and improve frameworks.
Build and maintain scalable APIs and backend services for high‑throughput content processing.
Design and deploy resilient, high‑performance systems using AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch).
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 focusing on backend or distributed systems.
Strong proficiency in Python (5+ years). Experience with Scala is a plus.
Expertise in designing 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 Our base pay is part of a total compensation package and varies by location and level. For San Francisco, California the range is $146,500 to $228,000. Outside California the range is $120,000 to $217,000. In Canada it ranges from $153,000 CAD to $202,000 CAD. This position is eligible for a competitive equity ownership and comprehensive benefits.
Benefits
Healthcare Insurance coverage (Medical/Dental/Vision) fully paid for employees.
12 weeks paid parental leave.
Short‑term and long‑term disability plans.
401(k)/RSP matching.
Home‑office onboarding stipend.
Learning & Development allowance and programs.
Quarterly stipend for wellness, Wi‑Fi, etc.
Mental health support & resources.
Free subscription to Scribd products.
Referral bonuses.
Book benefits.
Sabbaticals.
Team engagement budgets and company‑wide events.
Vacation & personal days, paid holidays.
Flexible sick time and volunteer day.
Employee Resource Groups and programs fostering inclusion and diversity.
Access to AI tools to boost productivity and innovation.
Locations 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)
Equal Opportunity Statement We want our interview process to be accessible to everyone. You can inform us of reasonable adjustments at any point 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 applicants of all backgrounds to apply and believe that diversity of perspectives creates a foundation for the best ideas.
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Scribd, Inc.
About the Company At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Our four products—Everand, Scribd, Slideshare, and Fable—provide a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise. We cultivate a culture where employees can be authentic, bold, and collaborative, with a focus on customer prioritization and intentional in‑person moments through Scribd Flex.
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 that drives content discovery for millions of users worldwide. Our systems operate at massive scale, supporting UGC, ebooks, audiobooks, and more, and we collaborate closely with research and product teams to deploy scalable ML and LLM‑powered solutions.
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, support Scribd’s content enrichment and metadata systems, and partner with cross‑functional teams to integrate machine learning models and LLM components. This role offers an opportunity to work on cutting‑edge generative AI and metadata enrichment problems at a truly global scale.
Tech Stack Python, AWS Lambda, ECS, SQS, ElastiCache, Airflow, Spark, Databricks, Terraform, Datadog.
Key Responsibilities
Provide technical leadership and mentorship across the organization, advocating secure coding best practices.
Design, implement, and scale event‑driven, distributed systems for large‑scale metadata extraction and enrichment.
Partner with Data Science, Infrastructure, ML Engineering, and Product teams to deliver robust, scalable systems.
Contribute to engineering strategy, identify gaps, propose initiatives, and improve frameworks.
Build and maintain scalable APIs and backend services for high‑throughput content processing.
Design and deploy resilient, high‑performance systems using AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch).
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 focusing on backend or distributed systems.
Strong proficiency in Python (5+ years). Experience with Scala is a plus.
Expertise in designing 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 Our base pay is part of a total compensation package and varies by location and level. For San Francisco, California the range is $146,500 to $228,000. Outside California the range is $120,000 to $217,000. In Canada it ranges from $153,000 CAD to $202,000 CAD. This position is eligible for a competitive equity ownership and comprehensive benefits.
Benefits
Healthcare Insurance coverage (Medical/Dental/Vision) fully paid for employees.
12 weeks paid parental leave.
Short‑term and long‑term disability plans.
401(k)/RSP matching.
Home‑office onboarding stipend.
Learning & Development allowance and programs.
Quarterly stipend for wellness, Wi‑Fi, etc.
Mental health support & resources.
Free subscription to Scribd products.
Referral bonuses.
Book benefits.
Sabbaticals.
Team engagement budgets and company‑wide events.
Vacation & personal days, paid holidays.
Flexible sick time and volunteer day.
Employee Resource Groups and programs fostering inclusion and diversity.
Access to AI tools to boost productivity and innovation.
Locations 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)
Equal Opportunity Statement We want our interview process to be accessible to everyone. You can inform us of reasonable adjustments at any point 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 applicants of all backgrounds to apply and believe that diversity of perspectives creates a foundation for the best ideas.
#J-18808-Ljbffr