Scribd, Inc.
Senior Backend Engineer (Python + Distributed systems)
Scribd, Inc., Dallas, Texas, United States, 75215
Senior Backend Engineer (Python + Distributed Systems)
Join to apply for the Senior Backend Engineer (Python + Distributed systems) role at Scribd, Inc.
About The Company At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. We create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our products: Everand, Scribd, Slideshare, and Fable.
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 that enables content discovery and trust for millions of users worldwide. Our systems operate at massive scale, supporting diverse datasets like user‑generated content, ebooks, and audiobooks, and we collaborate closely with applied research, product, and infrastructure teams to deploy scalable ML and LLM‑powered solutions in production.
Role Overview We’re seeking a Senior Software Engineer 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
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 team’s 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 with a focus 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.
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.
Working at Scribd, Inc. In the United States, the expected salary range for this role is $120,000–$217,000 (excluding California), where the range is $146,500–$228,000. In Canada, the range is $153,000 CAD–$202,000 CAD. In addition to competitive base pay, the position is eligible for equity ownership and a comprehensive benefits package as described below.
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 (+ 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.
Location Requirements Employees must have their primary residence in or near one of the following cities (or surrounding metro areas): 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? www.linkedin.com/company/scribd/life
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 at any point in the interview process.
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 create a foundation for the best ideas. Come join us in building something meaningful.
#J-18808-Ljbffr
About The Company At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. We create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our products: Everand, Scribd, Slideshare, and Fable.
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 that enables content discovery and trust for millions of users worldwide. Our systems operate at massive scale, supporting diverse datasets like user‑generated content, ebooks, and audiobooks, and we collaborate closely with applied research, product, and infrastructure teams to deploy scalable ML and LLM‑powered solutions in production.
Role Overview We’re seeking a Senior Software Engineer 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
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 team’s 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 with a focus 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.
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.
Working at Scribd, Inc. In the United States, the expected salary range for this role is $120,000–$217,000 (excluding California), where the range is $146,500–$228,000. In Canada, the range is $153,000 CAD–$202,000 CAD. In addition to competitive base pay, the position is eligible for equity ownership and a comprehensive benefits package as described below.
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 (+ 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.
Location Requirements Employees must have their primary residence in or near one of the following cities (or surrounding metro areas): 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? www.linkedin.com/company/scribd/life
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 at any point in the interview process.
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 create a foundation for the best ideas. Come join us in building something meaningful.
#J-18808-Ljbffr