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Big Data Made Easy
We use a lot of new-tech tools
We’ve written a lot of new tech tools

       Ironfan                   Wukong
       Chef specialization for   Ruby library for Hadoop
       Big Data in the cloud




       Wonderdog                 Swineherd
       Hadoop interface for      Workflow engine for
       ElasticSearch             Hadoop jobs
But it’s not about the technology…




              … it’s about the culture
Hiring Process




                Technical
                              Team       Initial      Full
 Initial Pass     Phone
                            Interview   Contract   Employment
                Interview
Management Structure
   Flat: I regularly talk with C-level folks

   Open: Everyone has well-understood roles

   Fair: Leadership leads, not orders about

   Understanding: Problems are addressed, not
    blamed
Employee Support
   Fully stocked kitchen

   Daily group lunches

   Employee joy fund and voting

   Company outings, both impromptu and formal

   Some fun and games, too
Employee Development
   Employee’s focus is largely self-directed

   Lack of experience is (almost) never a
    determining factor

   Common language for problems and frustration

   Make employees awesomely valuable, and
    totally uninterested in leaving
Technical Culture
   Good ideas can come from anyone

   Fail forward, not roll-back

   Repeatability is your friend

   Automate out of boredom or fear, not efficiency

   Failure from audacity is better than failure from
    inaction
Infrastructure Choices
   More assumed access for developers

   Small, decoupled, late-binding wherever
    possible

   Build anew, rather than repurpose an old

   Actively pull unused code and data from
    production
Beyond DevOps
   NoOps +1: everyone technically does part of
    Ops, it’s just my specialty

   AllOps: product & marketing can help Ops, and
    vise versa

   It’s all about removing barriers to being
    awesome, everywhere
What’s next?
   How do we handle the impedance mismatch
    between our model and our clients’ models?

   What do we do as the company grows beyond
    the size of the monkeysphere?

   How should we tackle user segmentation and
    security as we build our Platform out?
Contact Us – We’re Hiring!



                    855-DATA-FUN

                    infochimps.com/careers

                    careers@infochimps.com

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Infochimps: How We Do It

  • 2. We use a lot of new-tech tools
  • 3. We’ve written a lot of new tech tools Ironfan Wukong Chef specialization for Ruby library for Hadoop Big Data in the cloud Wonderdog Swineherd Hadoop interface for Workflow engine for ElasticSearch Hadoop jobs
  • 4. But it’s not about the technology… … it’s about the culture
  • 5. Hiring Process Technical Team Initial Full Initial Pass Phone Interview Contract Employment Interview
  • 6. Management Structure  Flat: I regularly talk with C-level folks  Open: Everyone has well-understood roles  Fair: Leadership leads, not orders about  Understanding: Problems are addressed, not blamed
  • 7. Employee Support  Fully stocked kitchen  Daily group lunches  Employee joy fund and voting  Company outings, both impromptu and formal  Some fun and games, too
  • 8. Employee Development  Employee’s focus is largely self-directed  Lack of experience is (almost) never a determining factor  Common language for problems and frustration  Make employees awesomely valuable, and totally uninterested in leaving
  • 9. Technical Culture  Good ideas can come from anyone  Fail forward, not roll-back  Repeatability is your friend  Automate out of boredom or fear, not efficiency  Failure from audacity is better than failure from inaction
  • 10. Infrastructure Choices  More assumed access for developers  Small, decoupled, late-binding wherever possible  Build anew, rather than repurpose an old  Actively pull unused code and data from production
  • 11. Beyond DevOps  NoOps +1: everyone technically does part of Ops, it’s just my specialty  AllOps: product & marketing can help Ops, and vise versa  It’s all about removing barriers to being awesome, everywhere
  • 12. What’s next?  How do we handle the impedance mismatch between our model and our clients’ models?  What do we do as the company grows beyond the size of the monkeysphere?  How should we tackle user segmentation and security as we build our Platform out?
  • 13. Contact Us – We’re Hiring! 855-DATA-FUN infochimps.com/careers careers@infochimps.com