About The Position

Scribd, Inc. is seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges at scale. In this role, you will design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content. You will 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.

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 like 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

Nice To Haves

  • Experience working with LLMs or integrating ML models into production systems

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 like 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.

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 programs and professional growth opportunities
  • Wellness and home office stipends
  • Complimentary access to the Scribd, Inc. suite of products
  • Enterprise access to leading AI tools
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service