About the Team
We believe in continuously improving our skills and codebase, work/life balance, and doing things right over doing them fast. We’re looking for engineers who share this view and are excited about writing quality code, trying new technologies, and playing well with others. This team works on challenging and exciting features including recommendations, search, payments and the mobile app API, so we use a wide variety of technologies including Ruby on Rails, Scala, Go, ElasticSearch, Spark/Hadoop, MySQL, Cassandra and Redis.
Some of our recent projects include:
Building the world's best recommendation engine for books. We analyze large amounts of data that allows us to correlate our huge library to each individual user, offering a very personalized experience maximizing user engagement and exploration.
Improving search quality by implementing and tuning multiple ranking algorithms, indexing schemes, and better search suggestions.
Implementation of a world-class subscription payment service that allows users to use their favorite payment methods to sign up for Scribd. We continue to optimize for authorization success, using advanced data analysis and machine learning techniques.
Implementing a state-of-the-art notifications system to allow us to effectively communicate with our customers, and rapidly a/b test our messaging.
Internal tools that glue together all of our infrastructure and coordinate the moving parts (analytics, anomaly detection, a/b testing platform, task pipelines, image server and many more).
We’re looking for strong engineers with exceptional problem-solving skills who want to work independently and own large, complicated projects. You’re comfortable in dealing with complexity, lots of moving pieces, coordinating with third parties, and cross-functional teams. You have exquisite attention to detail, ability to identify and solve edge-cases. You’re comfortable learning new technologies and systems. Collaboration, time management, and communication are as important as your technical skills.
• 5+ years experience in software engineering
• Strong background or interest in building successful web-services
• Experience shipping production-level, clean, maintainable code
• Strong understanding of data structures and algorithms with a focus on applied problem solving
• Bachelor's or higher in mathematics, computer science, physics, or equivalent experience
• Strong SQL skills and the ability to analyze and own large and complex datasets