Senior Backend Engineer

Join to apply for the Senior Backend Engineer (Python + Distributed systems) role at Scribd, Inc. 1 day ago – Be among the first 25 applicants. About The Company At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. 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. Our flexible work benefit, Scribd Flex, enables employees— in partnership with their manager — to choose the daily work style that best suits their needs. Occasional in-person attendance is required for all employees. We hire for “GRIT”: Goals, Results, Innovative ideas, and Positive Team collaboration. 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 such as user‑generated content, 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 Senior Software Engineer 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 Responsibilities Provide technical leadership, mentorship, and guidance to engineers across the organization, driving secure coding best practices. Lead the design, implementation, and scaling of event-driven, distributed systems to extract, enrich, and process metadata from large-scale document and media datasets. Partner with Data Science, Infrastructure, ML Engineering, and Product teams to architect and deliver robust systems that balance scalability, high performance, and rapid iteration. Contribute to the team’s engineering strategy, identifying gaps, proposing new initiatives, and improving existing frameworks. 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. Optimize and refactor existing backend systems for scalability, reliability, and performance. Ensure system health and data integrity through monitoring, observability, and automated testing. Requirements 7+ years of professional software engineering experience with a focus on backend or distributed systems development. Strong proficiency in Python (5+ years). Experience with Scala is a plus. Expertise in designing and architecting large-scale event-driven and distributed systems. Strong cloud expertise 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. Experience leading technical projects and mentoring engineers. 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. Compensation At Scribd, your base pay is determined within a range. For the United States, the salary range for this role is $120,000–$228,000 (depending on location). In California, the range is $146,500–$228,000. Outside California, it is $120,000–$217,000. In Canada, the range is CAD $153,000–$202,000. The range listed is for the level at which this job has been scoped. The position is also eligible for equity and a comprehensive benefits package. 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: 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 | Vancouver Mexico Mexico City Benefits, Perks, and Wellbeing 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: free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Learn More About Life at Scribd Want to learn more about life at Scribd? LinkedIn EEO Statement 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 accommodations@scribd.com 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. Application Procurement We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr