Software Engineer II; Backend + Data pipelines

Role Overview

We’re seeking a Software Engineer II with strong back‑end development experience and a passion for solving complex data challenges  this role, you’ll design, build, and optimise distributed systems that extract, enrich, and process metadata for a wide range of content. You’ll work closely with ML engineers, product managers, and cross‑functional partners to integrate machine learning models and LLM‑based services into production pipelines and deliver impactful, high‑performance solutions.

This role offers the opportunity to work on cutting‑edge generative AI and metadata enrichment problems at a truly global scale.

Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS (Lambda, ECS, SQS, Elasti Cache, Sage Maker, Cloud Watch, Datadog) and Terraform.

• Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content.
• Leverage LLMs to integrate capabilities like summarisation, classification, extraction, and enrichment into metadata pipelines.
• Collaborate with cross‑functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions.
• Optimise and refactor existing systems for performance, scalability, and reliability.
• Ensure data accuracy, integrity, and quality through automated validation and monitoring.
• Participate in code reviews, ensuring best practices are followed and maintaining high‑quality standards in the codebase.
• Manage and maintain data pipelines, security and infrastructure.

• 5+ years of professional software engineering experience.
• Proficiency in Python, Scala, Ruby or similar languages.
• Experience designing and building distributed systems at scale.
• Hands‑on experience building, deploying, and optimising solutions using ECS, EKS or AWS Lambda.
• Experience with infrastructure‑as‑code tools like Terraform.
• Experience working with a public cloud provider (AWS, Azure or Google Cloud).
• Familiarity with data processing frameworks like Spark or Databricks for large‑scale workloads.
• Proven ability to test, profile, and optimise systems for performance, scalability and reliability.
• Bachelor’s degree in Computer Science or equivalent professional experience.
• Bonus:
  Experience working with LLMs or integrating ML models into production systems.

In California: $126,000 to $196,000 (San Francisco highest). Outside California: $103,500 to $186,500. In Canada: $131,500 CAD to $174,500 CAD. Eligible for equity and benefits.

• Scribd Flex (flexible work model)
• Comprehensive health, dental and vision coverage
• Mental health support and disability coverage
• Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time and sabbaticals
• Paid parental leave and family support benefits
• Retirement matching and employee equity
• Learning and development programmes and professional growth opportunities
• Wellness and home office stipends
• Complimentary access to the Scribd, Inc. suite of products
• Enterprise access to leading AI tools

Scribd, Inc. is committed to equal employment opportunity regardless of race, colour, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. We encourage people from all backgrounds to apply and believe a diversity of perspectives and experiences creates a foundation for the best ideas. Come join us in building something meaningful.

We want our interview process to be accessible to everyone. If you need adjustments, email