Software Engineer II (Backend + Data pipelines)

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 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. Its 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 Well 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 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 Goals achieve Results within their job responsibilities contribute Innovative ideas and solutions and positively influence the broader Team 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 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:

Our team uses various technologies. The following are the ones that we use on a regular basis: 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

At Scribd your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role level and geographic location. San Francisco is our highest geographic market in the United the state of California the reasonably expected salary range is between $126000 minimum salary in our lowest geographic market within California to $196000 maximum salary in our highest geographic market within California.

In the United States outside of California the reasonably expected salary range is between $103500 minimum salary in our lowest US geographic market outside of California to $186500 maximum salary in our highest US geographic market outside of California.

In Canada the reasonably expected salary range is between $131500 CADminimum salary in our lowest geographic market to $174500 CADmaximum salary in our highest geographic market.

We carefully consider a wide range of factors when determining compensation including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been 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.

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 Vancouver

Mexico:

Mexico City

Benefits Perks and Wellbeing at Scribd

*Benefits/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 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.

Want to learn more about life at Scribd 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.