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Senior DevOps Engineer

Note: We're only looking for candidates in North/South America. We have capacity for 1 fulltime DevOps engineer, and 3 more for a short 3 month contract.

Who we are:

  • We're focused and work efficiently. We optimize for productivity, not hours.
  • We're optimistic. We focus on how we can succeed, instead of worrying about why we might fail.
  • We're strategic. We validate assumptions as early as possible. Our sales team is a key part of testing our product scope.
  • We schedule meetings and limit interruptions so you can focus.
  • Currently US time zones are a requirement.

What you'll do:

  • You will turn ideas into useful products. Our metric for success is, "did I make life easier for a data scientist this week?"
  • You will use Kubernetes, Python, Docker, and AWS/GCP/Azure.
  • We rotate developers through sales and support so that we always know what our customers are going through.


  • Telecommuting is OK
  • No Agencies Please


Who you are:

  • Pedigree isn't important.
  • You have some industry experience, ideally over 4 years. We're not ready to mentor junior hires.
  • You're efficient - You can identify the essentials and ship them quickly.
  • You love the PyData ecosystem, and would love to have a job where you help make it thrive.
  • You're customer focused, you care that people enjoy using our products.
  • You have some experience working remotely. Remote isn't for everyone, and we don't have a better way to know whether it will work for you.

Interview Process:

  • 1 or 2 phone calls to evaluate fit (who you are, what do you want to do, what have you done). There will be no brain teasers or coding challenges on this call.
  • 2 hour take home problem.
  • 1 or 2 days of in person work with us on some code. Depending on your constraints, this will either be on our code base or on a related open source project. You will be paid for this work, and if you cannot accept payment, we'll make a donation to a non-profit of your choice.

About the Company

Saturn is building DataBricks for Dask. We're ex Anaconda folks and members of the open source community. We're building a data science platform using the common OSS tools (Jupyter, Dask, Airflow) everyone loves. Why? Because you shouldn't have to learn Scala in order to work with big data.

Desired Skills

Contact Info

Posted: Oct. 19, 2019

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