Senior Software Engineer, Recommendations

San Francisco OR Remote US/Canada

Full Time Senior-level / Expert
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Scribd
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Posted 1 week ago

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.
About the Role
• Working within our Ruby on Rails codebase for serving recommendations to the web and mobile applications. This includes aggregating recommendations from multiple sources and then filtering/ranking them based on contextual data.•Helping maintain and improve our graph of Spark (Scala) applications, which are responsible for aggregating interactions and generating new recommendations.•Leading and implementing projects considering quality, maintainability, performance, scale, and observability throughout the development process and in production.•Improving or building solutions that address our architectural gaps and technical debt.•Advising on technical designs, reviewing code, participating in interviews and mentoring junior team members.•Collaborating with our product and data teams to analyze data and plan a course of action.•We are building our recommendations platform into a service oriented architecture to support the growth of our business. You will have the opportunity to influence the way we build our platform which helps in having shorter iterations on feature development which has a direct impact on growth and revenue.
Minimum Requirements
•A bachelor or masters degree in computer science or related field•5+ years of industry experience on large scale distributed systems•Strong experience with a web application framework (Ruby on Rails, Spring, Django, Flask, or a comparable framework)•Strong experience with a big-data processing engine (Spark, MapReduce, Flink, or a comparable engine)•Strong SQL skills and the ability to evaluate and own large and complex datasets•Experience working within a service-oriented environment•Ability to communicate effectively and proactively with the team and stakeholders•Ability to work collaboratively on cross functional teams with product, data science and other engineering teams•Recommendations experience is a plus•Experience decomposing a monolithic application into services is a big plusBenefits, Perks and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals• 401k plan through Fidelity,  plus company matching with no vesting period• Diversity, Equity, & Inclusion hiring best practices• Stock Options - every employee is an owner in Scribd! • Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day• Referral bonuses• Professional development: generous annual budget for our employees to attend conferences, classes, and other events• Company-wide Diversity, Equity & Inclusion training• Learning & Development and Coaching programs• Monthly Wellness, Connectivity & Comfort Benefit• Concern mental health digital platform• Work-life balance flexibility• Employee Resource Groups that build community and support among employees• Company events + Scribdchats• Free subscription to Scribd + gift memberships for friends & family• Monthly inclusive multi-cultural celebrations & learning opportunities
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
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. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
Job tags: Coaching Distributed systems Django Mentoring Mobile Rails Ruby Scala Spark SQL Stock options Training
Job region(s): North America
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