Software Engineer (Backend, Python) - Content Understanding (Ahuntsic)

Role Overview

We’re seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges at scale. In this role, you’ll design, build, and optimize 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.

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, ensuring best practices are followed and maintaining high‑quality standards in the codebase.
• Manage and maintain data pipelines, security and infrastructure.

Requirements

• 4+ 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 optimizing solutions using ECS, EKS, or AWS Lambda.
• Experience with infrastructure‑as‑code tools such as Terraform (or similar).
• 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 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.

Tech Stack

• Python
• Scala
• Ruby on Rails
• Airflow
• Databricks
• Spark
• HTTP APIs
• AWS (Lambda, ECS, SQS, ElastiCache, SageMaker, CloudWatch, Datadog)
• Terraform

Compensation

The total compensation package includes a competitive salary within the following ranges:

• SanFrancisco, CA: $126,000 – $196,000
• Other U.S. locations: $103,500 – $186,500
• Canada: $131,500CAD – $174,500CAD

Additional equity ownership and a comprehensive benefits package are offered.

Equal Employment Opportunity Statement

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.

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