Python Automation Engineer, Data Pipelines

Doximity · Apr 2nd 2018

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Headquarters: San Francisco, CA URL:

Why work at Doximity?

Doximity is the leading social network for healthcare professionals with over 70% of U.S. doctors as members. We have strong revenues, real market traction, and we're putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Our founder, Jeff Tangney, is the founder & former President and COO of Epocrates (IPO in 2010), and Nate Gross is the founder of digital health accelerator RockHealth. Our investors include top venture capital firms who've invested in Box, Salesforce, Skype, SpaceX, Tesla Motors, Twitter, Tumblr, Mulesoft, and Yammer. Our beautiful offices are located in SoMa San Francisco.

This position is for an experienced Python software engineer, with a passion for writing tests, to join our 4 person Test Automation team. We’re looking for someone with a strong track record of putting Python to work in data-oriented products.  

Skills & Requirements

-Minimum 4 years of professional experience developing software using Python. 

-Experience writing unit and integration tests in Python.

-Considerable AWS and Unix experience. You must feel at home using the terminal and AWS CLI and API tools.

-Able to troubleshoot and optimize test failures, and build consistency issues.

-Able to investigate intermittent CI server failures due to infrastructure shortcomings. 

-Able to communicate effectively and teach engineers best practices for spec writing.

-Able to effectively manage time; balance failure investigation with completing sprint tasks.

-Experience with FactoryBoy (or equivalent), and how to implement and optimize factories for ideal spec data creation.

-CircleCI and Docker experience is a plus.

-Work remotely provided you have 5 hours of overlap with the team in the U.S. Our core hours are 9:30 AM to 5:30 PM PST.

-Apache Spark and Airflow experience is a huge plus.

Here's what you can expect to work on

-Design and build a CI pipeline for the Data Engineering Python codebase.

-Spearhead the process of establishing a modern CI/CD suite for data pipelines.

-Deploy and maintain CI servers within AWS, CircleCI, and other partners. 

-Write documentation and guides, be an advocate and mentor to the Data team with regards to Test Automation.

A few facts about us

-We deploy our applications to production on average 25 times per day.

-We have over 250 private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications.

-Our production stack is hosted on AWS and QA clusters on DigitalOcean.

-Hundreds of thousands of healthcare professionals will utilize the products you build.

-We host unstructured "hack days" periodically, which is time reserved for you to scratch a code itch.

-A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.

-Every new engineer ships code to production on day one. Our mentorship program ensures you're immersed in the team's culture early on. 

About the Technical Stack  

Doximity's web applications are built primarily using Ruby, Rails, Javascript, and a bit of Go.  Our applications are used by hundreds of thousands of Physicians and Healthcare professionals, and we also have a suite of mobile applications for iOS and Android.  We like to think pragmatically in choosing the tools most appropriate for the job at hand. More details about our engineering stack on the Doximity engineering blog.

To apply:

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