Position Details
About this role
This role involves designing and building scalable backend systems for metadata extraction and enrichment at Scribd, working with machine learning models and large data pipelines.
Key Responsibilities
- Design distributed systems for metadata processing
- Build and optimize data pipelines
- Integrate ML models into production
- Collaborate with ML and product teams
- Support scalable infrastructure
Technical Overview
The technical environment includes Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, and AWS cloud services, focusing on distributed systems and data engineering at scale.
Ideal Candidate
The ideal candidate is a mid-level backend engineer with experience in distributed systems, data pipelines, and machine learning integration, preferably with AWS cloud expertise. They should have strong programming skills in Python, Scala, or Ruby on Rails and be comfortable working at scale.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with distributed systems, No AWS experience, No backend development background, Unable to work on-site in Jacksonville, FL
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