Scribd-posted 4 months ago
$126,000 - $196,000/Yr
Full-time • Mid Level
251-500 employees

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

  • 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.
  • 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.
  • Experience working with LLMs or integrating ML models into production systems.
  • Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees.
  • 12 weeks paid parental leave.
  • Short-term/long-term disability plans.
  • 401k/RSP matching.
  • Onboarding stipend for home office peripherals + accessories.
  • Learning & Development allowance.
  • Learning & Development programs.
  • Quarterly stipend for Wellness, WiFi, etc.
  • Mental Health support & resources.
  • Free subscription to the Scribd Inc. suite of products.
  • Referral Bonuses.
  • Book Benefit.
  • Sabbaticals.
  • Company-wide events.
  • Team engagement budgets.
  • Vacation & Personal Days.
  • Paid Holidays (+ winter break).
  • Flexible Sick Time.
  • Volunteer Day.
  • Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace.
  • Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation.
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