Software Engineer; Backend, Python - Content Understanding
Ottawa, Ontario, Canada
Listed on 2026-06-04
-
Software Development
Software Engineer, Cloud Engineer - Software, Backend Developer, Machine Learning/ ML Engineer
Role Overview
We’re seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges this role, you will design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content, integrating machine learning models and LLM-based services to deliver high-performance production solutions.
Key Responsibilities- Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content.
- Leverage LLMs to integrate capabilities such as summarization, 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.
- Optimize and refactor existing systems for performance, scalability, and reliability.
- Ensure data accuracy, integrity, and quality through automated validation and monitoring.
- Participate in code reviews to enforce best practices and maintain high‑quality standards in the codebase.
- Manage and maintain data pipelines, security, and infrastructure.
- 4+ years of professional software engineering experience.
- Proficiency in Python, Scala, Ruby, or a similar language.
- Experience designing and building distributed systems at scale.
- Hands‑on experience building, deploying, and optimizing solutions using ECS, EKS, or AWS Lambda.
- Experience with infrastructure‑as‑code tools such as Terraform.
- Experience working with a public cloud provider (AWS, Azure, or Google Cloud).
- Familiarity with data processing frameworks such as Spark or Databricks for large‑scale workloads.
- Proven ability to test, profile, and optimize 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 the United States (California): $126,000–$196,000. Outside of California: $103,500–$186,500. In Canada: $131,500
CAD–$174,500
CAD. The base pay is part of a total compensation package that also includes equity, benefits, and other incentives.
- 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 programs and professional growth opportunities.
- Wellness and home office stipends.
- Access to the Scribd suite of products and enterprise AI tools.
Scribd, Inc. 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 creates a foundation for the best ideas.
#J-18808-LjbffrTo Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: