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Lead Python/Django developer - hot Silicon Valley Startup (5+ years experience, equity)

Tarams Technologies , Bangalore · tarams.com · Full-time employment · Programming

Tarams is a Product Engineering firm based out of Bangalore. We credit ourselves on working with the hottest startups to Fortune 500 companies. 

Now we’ve partnered with one of the hottest Silicon Valley Startups, to build an exciting product that aims to bring the power of word of mouth online! Our product leverages the largest collection of multi-store shopping data, and we collaborate and compete with leading e-commerce and digital media incumbents (Amazon/Google/Facebook).

Our Advisors include the CEO of Levi's & Chairman of HP Inc, Creative Director of Apple & Co-Founder of Enjoy, Co-Founder of BestReviews.com.

Early team members will create an outsized, immediate-term impact on the entire e-commerce and digital media ecosystem. This is a great opportunity to get in at the early stage with Equity (stock options) compensation and be part of a successful consumer application. If you like working on all parts of the stack, come join our fast moving team!

Your responsibilities will include:

  • architecting and designing highly scalable and resilient web and distributed systems
  • writing code in all parts of the product stack
  • reviewing others' code and making sure that the overall quality of code is great

We believe in high quality software engineering environments, so you likely have:

  • worked with a team of designers/engineers who reviewed each other’s code/designs and held each other to an extremely high bar for quality of code/designs
  • written unit tests and testable code
  • depended on continuous integration, and participated in build and release processes
  • owned the quality of the code you wrote even (especially!) when it was running in production

Ideal candidates would have experience with one or more of the following:

  • Python and Django
  • RDBMS and NOSQL databases
  • Distributed systems
  • Data engineering
  • Machine learning
  • Amazon Web Services

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