Senior Experimentation Backend Engineer at Automattic () (allows remote)

Senior Experimentation Backend Engineer at Automattic () (allows remote)


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Type: Full Time
Created: 2021-07-03 05:00:08

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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.
  • 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.