Scribd

1 month ago

Software Engineer (Backend), Content Foundations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Join the Content Foundations team to build and maintain backend systems for ingestion, metadata, and content processing, enabling scalable pipelines and AI-enabled workflows across Scribd products. You’ll work across teams to improve upload flows, content quality, and metadata enrichment while applying AI-driven engineering practices.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Contribute to core content systems: design and implement features within ingestion pipelines, metadata services, and content processing workflows, with guidance from senior engineers and the EM on scope and trade-offs.
•Build reliable, observable systems: implement production-quality services that handle diverse file formats, malformed inputs, retries, asynchronous workflows, and edge cases.
•Collaborate across teams: partner with ML Engineering, Search & Discovery, the Content Library squad, and Product to build systems that balance performance, scalability, and user experience.
•Improve content quality and discoverability: work with ML and Discovery teams to enable improvements in metadata extraction, classification, and enrichment that power personalization and search.
•Leverage AI-driven engineering practices: use LLM-based systems and AI coding agents in your day-to-day work, and share your learnings with the team.

Pay and Benefits

Perks:Scribd FlexHealth InsuranceRetirement MatchingEquityVision

Key Requirements

•4+ years of professional software engineering experience, including exposure to production-scale systems.
•Experience with backend services, data pipelines, or content-processing systems, depth in any one of these is enough.
•Proficient in at least one of Ruby, Python, or Go, and willing to ramp up on the others (our stack includes all three).
•Working familiarity with AWS (e.g., Lambda, SQS/SNS, S3) or similar cloud resources.
•Comfortable working with relational databases (SQL).

Experience:4+ yearsContent-managementAI/MLSaaS

Skills:RubyPythonGoAWSSQLLambdaS3SQSSNS

Languages:English

Tech Stack:RubyPythonGoAWSLambdaSQSSNSS3SQL

Company Brief

Scribd

Scribd operates a subscription-based digital library offering unlimited access to books, audiobooks, magazines, and documents. The platform provides personalized recommendations and distribution tools for authors and publishers worldwide.

Industry: Publishing

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Headquarters: San Francisco, United States

Founded: 2007

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Scribd

1 month ago

Software Engineer (Backend), Content Foundations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Contribute to core content systems: design and implement features within ingestion pipelines, metadata services, and content processing workflows, with guidance from senior engineers and the EM on scope and trade-offs.
•Build reliable, observable systems: implement production-quality services that handle diverse file formats, malformed inputs, retries, asynchronous workflows, and edge cases.
•Collaborate across teams: partner with ML Engineering, Search & Discovery, the Content Library squad, and Product to build systems that balance performance, scalability, and user experience.
•Improve content quality and discoverability: work with ML and Discovery teams to enable improvements in metadata extraction, classification, and enrichment that power personalization and search.
•Leverage AI-driven engineering practices: use LLM-based systems and AI coding agents in your day-to-day work, and share your learnings with the team.

Pay and Benefits

Perks:Scribd FlexHealth InsuranceRetirement MatchingEquityVision

Key Requirements

•4+ years of professional software engineering experience, including exposure to production-scale systems.
•Experience with backend services, data pipelines, or content-processing systems, depth in any one of these is enough.
•Proficient in at least one of Ruby, Python, or Go, and willing to ramp up on the others (our stack includes all three).
•Working familiarity with AWS (e.g., Lambda, SQS/SNS, S3) or similar cloud resources.
•Comfortable working with relational databases (SQL).

Experience:4+ yearsContent-managementAI/MLSaaS

Skills:RubyPythonGoAWSSQLLambdaS3SQSSNS

Languages:English

Tech Stack:RubyPythonGoAWSLambdaSQSSNSS3SQL

Company Brief

Scribd

Industry: Publishing

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Headquarters: San Francisco, United States

Founded: 2007

Website LinkedIn