About The Company

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

Our workplace philosophy emphasizes balancing individual flexibility with community connections. Through our flexible work benefit, Scribd Flex, employees— in partnership with their managers— can choose the daily work style that best suits their needs. We also prioritize intentional in‑person moments to foster collaboration, culture, and connection. As such, occasional in‑person attendance is required for all employees, regardless of location.

We value “GRIT” — demonstrating passion and perseverance toward long-term goals. We seek individuals who set and achieve goals, deliver results, contribute innovative ideas, and positively influence their teams through collaboration and attitude. This approach reflects our commitment to unlocking potential and fostering a dynamic, inclusive environment.

About The Role

We are seeking a Software Engineer II with extensive experience in building event-driven, distributed, and scalable systems primarily using Python. In this role, you will be responsible for designing and optimizing large-scale data and service pipelines on AWS that support Scribd’s content enrichment and metadata systems. You will work closely with cross-functional teams to develop reliable backend services that integrate machine learning models and large language models (LLMs) when necessary.

This position offers a unique opportunity to work on cutting-edge generative AI and metadata enrichment solutions at a global scale.





The successful candidate will contribute to the development of high-performance backend systems that process hundreds of millions of documents and billions of images, ensuring high-quality metadata delivery for content discovery and user trust. You will leverage a tech stack centered around Python and AWS services such as Lambda, ECS, SQS, and ElastiCache, alongside orchestration and observability tools like Airflow, Spark, Terraform, and Datadog.

This role is ideal for someone passionate about scalable system design, data engineering, and innovative AI integrations, eager to contribute to a platform that impacts millions of users worldwide.

Qualifications

- 5+ years of professional experience in software engineering, with a focus on Python or distributed systems development
- Strong proficiency in Python (3+ years)
- Experience designing and building event-driven, distributed, and scalable systems
- Hands-on experience with AWS services such as ECS, Lambda, SQS, SNS, CloudWatch
- Proficiency with infrastructure-as-code tools like Terraform
- Solid understanding of system performance, profiling, and optimization techniques
- Bachelor’s degree in Computer Science or equivalent professional experience
- Bonus: Familiarity with data processing frameworks like Spark and Databricks
- Bonus: Experience integrating machine learning or large language models into production environments
- Bonus: Knowledge of Scala is a plus

Responsibilities

- Design and implement event-driven, distributed systems to extract, enrich, and process metadata from large-scale datasets
- Build and maintain scalable APIs and backend services supporting high-throughput content processing




- Leverage AWS services such as ECS, Lambda, SQS, and ElastiCache to deploy resilient, high-performance systems
- Collaborate with cross-functional teams to deliver backend solutions that power machine learning-driven features
- Optimize and refactor existing backend systems for improved scalability, reliability, and performance
- Ensure system health and data integrity through continuous monitoring, observability, and automated testing
- Participate in architectural discussions and contribute innovative solutions for complex technical challenges
- Stay updated with industry best practices and emerging technologies to enhance system capabilities

Benefits

- Comprehensive healthcare coverage including medical, dental, and vision plans, fully paid for employees
- 12 weeks paid parental leave
- Short-term and long-term disability plans
- 401(k)/RSP retirement matching program
- Onboarding stipend for home office peripherals and accessories
- Learning and Development allowance and programs
- Quarterly stipends for wellness, WiFi, and related needs
- Mental health support and resources
- Free subscription to Scribd’s suite of products
- Referral bonuses and book benefits
- Sabbaticals and company-wide events
- Team engagement budgets and volunteer days
- Vacation, personal days, paid holidays, and winter break
- Flexible sick time policies
- Access to AI tools to enhance productivity and innovation

Equal Opportunity Scribd is committed to creating an inclusive environment and is proud to be an equal employment opportunity employer. We do not discriminate based on race, color, religion, gender, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law. We believe that diverse perspectives and experiences enrich our workplace and contribute to our success.

We encourage qualified individuals from all backgrounds to apply and join us in building meaningful and creative solutions.

📌 Backend Software Engineer (Python, SQL) (Canada)
🏢 Sundayy
📍 Canada