Direct message the job poster from 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 four products: Everand, Scribd, Slideshare, and Fable.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.When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work‑style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in‑person moments to build collaboration, culture, and connection. For this reason, occasional in‑person attendance is required for all Scribd employees, regardless of their 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 toward long‑term goals. At Scribd, we are inspired by the potential that this can unlock. We 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. Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieveG oals, achieveR esults within their job responsibilities, contributeI nnovative ideas and solutions, and positively influence the broaderT 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 We’re seeking a Software Engineer II with deep experience building event‑driven, distributed, and scalable systems in Python. In this role, you’ll design and optimize large‑scale data and service pipelines running on AWS, supporting Scribd’s content enrichment and metadata systems. You’ll work closely with cross‑functional teams to design reliable backend services that integrate machine learning models and LLM‑based components when needed. This role offers the opportunity to work on cutting‑edge generative AI and metadata enrichment problems at a truly global scale.Tech Stack Our backend systems are primarily built in Python, leveraging AWS services such as Lambda, ECS, SQS, and ElastiCache for event‑driven and distributed processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability.Key ResponsibilitiesDesign and implement event‑driven, distributed systems to extract, enrich, and process metadata from large‑scale document and media datasets.Build and maintain scalable APIs and backend services for high‑throughput content processing.Leverage AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch) to design and deploy resilient, high‑performance systems.Collaborate with cross‑functional teams to deliver backend solutions that power ML‑driven features.Optimize and refactor existing backend systems for scalability, reliability, and performance.Ensure system health and data integrity through monitoring, observability, and automated testing.Requirements5+ years of professional software engineering experience on Python or distributed systems development.Strong proficiency in Python (3+ years). Experience with Scala is a plus.Proven experience designing and building event‑driven, distributed, and scalable systems.Hands‑on experience with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.).Experience with infrastructure‑as‑code tools like Terraform.Solid understanding of system performance, profiling, and optimization.Bachelor’s degree in Computer Science or equivalent professional experience.Bonus: Familiarity with data processing frameworks (Spark, Databricks) and workflow orchestration tools.Bonus: Experience integrating ML or LLM‑based models into production systems.At Scribd, your base pay is one part of your total compensation package and is determined within a range. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.In the state of California, the reasonably expected salary range is between $126,000 and $196,000. In the United States, outside of California, the range is between $103,500 and $186,500. In Canada, the range is between $131,500 CAD and $174,500 CAD.Working at Scribd, Inc. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance.United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.Canada: Ottawa | Toronto | VancouverMexico: Mexico CityBenefits, Perks and Wellbeing at ScribdBenefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees12 weeks paid parental leaveShort‑term/long‑term disability plans401k/RSP matchingOnboarding stipend for home office peripherals + accessoriesLearning & Development allowanceLearning & Development programsQuarterly stipend for Wellness, WiFi, etc.Mental Health support & resourcesFree subscription to the Scribd Inc. suite of productsReferral BonusesBook BenefitSabbaticalsCompany‑wide eventsTeam engagement budgetsVacation & Personal DaysPaid Holidays (+ winter break)Flexible Sick TimeVolunteer DayCompany‑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.We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing about the need for adjustments at any point in the interview process.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, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.#J-18808-Ljbffr