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Software Engineer II (Backend + Data pipelines)
Scribd
- +3
- +6
- United States
- +3
- +6
- United States
Über
Software Engineer II (Backend + Data pipelines) at Scribd, Inc. 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 employees can be real and bold; where we debate and commit; and where every employee is empowered to take action as we prioritize the customer. We balance flexibility with in-person collaboration through Scribd Flex; occasional in-person attendance is required for all Scribd employees, regardless of location. So what are we looking for in new team members? We hire for GRIT. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Heres what that means for you: were looking for someone who showcases the ability to set and achieve
G oals, achieve
R esults within their job responsibilities, contribute
I nnovative ideas and solutions, and positively influence the broader
T eam through collaboration and attitude. About The Team
The ML Data Engineering team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high-quality metadata to enable content discovery and trust for millions of users worldwide. Our systems operate at massive scale, supporting diverse datasets like user-generated content (UGC), ebooks, audiobooks, and more. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM-powered solutions in production. Role Overview
Were seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges at scale. In this role, youll design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content. Youll 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. Tech Stack
Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS (Lambda, ECS, SQS, ElastiCache, SageMaker, CloudWatch, Datadog) and Terraform. 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 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. 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 Bachelors degree in Computer Science or equivalent professional experience Bonus: Experience working with LLMs or integrating ML models into production systems Compensation
At Scribd, your base pay is one part of your total compensation package and is determined within a range. Salary ranges vary by location. For California: approximately $126,000 to $196,000; outside California: approximately $103,500 to $186,500; Canada: approximately $131,500 CAD to $174,500 CAD. The company considers a wide range of factors when determining compensation. This position is eligible for equity and a comprehensive benefits package. Working at Scribd
Are you based in a location where Scribd can employ you? Employees must have their primary residence in or near listed cities in the United States, Canada, or Mexico, with typical commuting distance. Benefits, Perks, and Wellbeing
Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Disability plans, 401k/RSP matching, onboarding stipend for home office, and more Learning & Development allowance and programs Wellness stipend and mental health resources Free Scribd product subscriptions, referral bonuses, book benefit, sabbaticals Company-wide events and ERGs, AI tool access DEI and Accessibility
Were committed to equal employment opportunity and encourage people of all backgrounds to apply. If you need reasonable adjustments, email accommodations@scribd.com. #J-18808-Ljbffr
Wünschenswerte Fähigkeiten
- AWS Lambda
- Python
- Ruby on Rails
- Scala
- Spark
- Databricks
Berufserfahrung
- Backend
- Data Engineer
- Machine Learning
Sprachkenntnisse
- English
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