Sr. Engineer, Data Platform

About Quizlet:
Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.  
Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.  
Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.  
To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.

About the Team:
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.
About the Role:
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.
This is a hybrid role based out of our Denver, Los Angeles, New York, Seattle, and San Francisco office hubs.

In this role, you will:

• 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

What you bring to the table:

• 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

Bonus points if you have:

• Experience defining architecture, tooling, and strategy for large-scale data processing systems
• Knowledge and experience building applied ML-based applications are highly preferred

Compensation, Benefits & Perks:

• Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps.  Total compensation for this role is market competitive, including a starting base salary of $130,000 - $185,000, depending on location and experience, as well as company stock options
• Collaborate with your manager and team to create a healthy work-life balance
• 20 vacation days (and we expect you to take them!)
• Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
• Employer-sponsored 401k plan with company match
• Access to LinkedIn Learning and other resources to support professional growth
• Paid Family Leave, FSA, HS