• Experience as a Software Engineer, particularly in backend development in Python and Go
• Proficiency with microservices development and distributed systems (Docker, Kubernetes, Terraform) is highly valued
• Experience with building and maintaining systems in Google Cloud Platform (or AWS and Azure)
• Excellent communication and problem-solving skills
• A desire to learn new things and help others learn

Desirable

• The Data Platform team empowers product engineers and data scientists by developing and operating services, tools, and infrastructure to scale Quizlet’s product development both technically and operationally.
• We tackle longer term projects on the scale of quarters or more. We're passionate about quality at scale, performance engineering, high availability, robust distributed architecture, and clean code.
• We work with a variety of programming languages and tools to create the right technological solution for each project
• You will help accelerate and amplify the work of our Product Engineers, Machine Learning Engineers, Data Scientists, powering intelligent features on Quizlet.com, and helping millions of people learn
• Help build, scale, and maintain production services and infrastructure that deliver critical data, inferences, and experiences to students and teachers on quizlet.com
• Accelerate and amplify the work of our Machine Learning Engineers by building infrastructure that streamlines the development, testing, and deployment of machine learning models to production
• Develop and implement data infrastructure that enables the acquisition and ingestion of event-driven/streaming data sources at scale
• Support ML engineers in productionizing ML models and features with the goal of developing tools and processes that enable self-service
• Partner with Product Engineers and Data Scientists to ensure that critical data is delivered to its destination with maximal availability, recoverability, and operational efficiency
• Collaborate with engineers and leadership across the organization to define the technical vision and build on the technical roadmap for Data Platform