Senior Software Engineer I

At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.

Shutterfly’s software engineers develop the next-generation technologies that change how millions of users will purchase personalized products. We’re looking for engineers who bring fresh ideas from all areas.

We are looking for exceptional Backend Engineers for our Personalization team. The mandate for this team is to envision, develop, and manage the systems / workflows that enable Shutterfly to automatically generate products and to recommend them at the right time with the right content. A huge challenge!

What You'll Do Here

• Help develop the next-generation of Shutterfly product creation services
• Analyze, design and develop scalable services and components in the AWS Cloud Debug, maintain and improve the backend infrastructure running on AWS, enhancing its ability to process millions of images per day
• Design and build flexible pipelines that can rapidly evolve to handle new technologies and modeling approaches
• Turn requirements into simple, elegant, optimal solutions
• Work with team members and other groups to achieve company goals
  
  

• B.Sc. in Computer Science or equivalent.
• Five or more years of experience as a backend engineer, writing in Python, Node.js or the like
• Experience designing and implementing distributed and scalable systems
• Experience developing and working with RESTful web services and client-server architectures
• Experience with working over Linux OS
• Self-direction, ambition, and an eagerness to learn new things
• Ability to take high-level project concepts and turn them into well thought out system designs
• Listens / curious / adaptable / collaborative
  
  

• Experience in cloud computing and/or AWS services
• Participated in an end-to-end big data and/or large-scale performance challenge
• Experience with big data technologies (ideally Spark)