Software Engineer II; Backend + Data pipelines

Overview

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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 three products:
Everand, Scribd, and Slideshare.

We support a culture where our employees can be real and be 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. Scribd Flex allows employees to choose their daily work-style in partnership with their manager, prioritizing intentional in-person moments to build collaboration, culture, and connection.

Occasional in-person attendance is required for all Scribd employees, regardless of location.

We hire for “GRIT”:
Goals, Results, Innovation, and Team – the standards by which we work and collaborate.

We’re seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges  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 high-performance solutions.

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

Our team uses Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS (Lambda, ECS, SQS, Elasti Cache, Sagemaker, Cloudwatch, 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 summarization, classification, extraction, and enrichment into metadata pipelines.
• Collaborate with cross-functional teams 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, maintaining 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 similar languages
• Experience designing and building distributed systems at scale
• Hands-on experience with ECS, EKS, or AWS Lambda
• Experience with infrastructure-as-code tools like Terraform
• Experience with a public cloud provider (AWS, Azure, or Google Cloud)
• Familiarity with Spark or Databricks for large-scale data processing
• Ability to test, profile, and optimize systems for performance, scalability, and reliability
• Bachelor’s degree in Computer Science or equivalent experience
• Bonus:
  Experience with LLMs or production ML model integration

At Scribd, your base pay is one part of your total compensation. Salary ranges vary by location. This position is eligible for a competitive equity grant and a comprehensive benefits package. We consider a wide range of factors when determining compensation, including experience, skills, education, and business needs.

Are you based in a location where Scribd can employ you? Primary residence should be in or near qualifying cities in the United States, Canada, or Mexico as specified in our policy.

• Healthcare Insurance Coverage (Medical/Dental/Vision)
• 12 weeks paid parental leave
• Disability plans
• 401k/RSP matching
• Onboarding stipend for home office setup
• Learning & Development allowance and programs
• Wellness stipend and other supports
• Mental Health resources
• Free Scribd product subscriptions
• Referral bonuses and book benefit
• Sabbaticals and company-wide events
• Flexible sick time and volunteer day
• Inclusive Employee Resource Groups
• Access to AI tools for productivity

We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments by emailing  Scribd 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.

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries:
  Software Development