Senior Experimentation Backend Engineer

Automattic’s experimentation platform squad (ExPlat) is looking for a self-directed backend engineer to help take ExPlat to the next level! You will partner with our resident engineers and data scientists to maintain and enhance a rock-solid platform for running and analyzing experiments, ranging from simple A/B tests to more exotic approaches.

You can learn more about the project by reading our recent data.blog and checking out Abacus, ExPlat’s open-source UI.

What You’ll Do:

• Contribute well-tested code across the ExPlat stack, from the Python/SQL/Scala data processing pipelines, through the PHP/WordPress production back-end, to the JavaScript/React UI and assignment clients.


• Help with architecture and product decisions within ExPlat.


• Support internal users through experiment and code reviews.


• Integrate into a multi-functional team of software engineers, data scientists, and data engineers.

Who You Are:

• You have production experience building backend applications with a variety of languages, frameworks, and systems.


• You understand backend challenges around scalability, caching, database load management, and API design


• You have experience working with PHP or the ability and willingness to pick it up quickly.


• You are familiar with multiple programming languages and paradigms.


• You have experience with test automation at all levels of the test pyramid.


• You are knowledgeable about design patterns, testability, and maintainability.


• You care about code quality and best practices and appreciate robust code review processes.


• You are results-oriented, humble, and have an equal willingness and ability to learn, and teach.


• You have strong interpersonal skills with experience working autonomously in a diverse, cross-functional team.

Bonus:

• You have experience running A/B tests.


• You have WordPress programming experience.


• You have experience working with data and visualization.


• You have at least a basic understanding of machine learning and statistics.


• Most of your workday is between Western US and Western Australia hours.