Green Visor Capital

Management Company, LLC

Data Engineer at Simpl
Bangaluru, IN / Karnataka, IN

About Simpl 

The thrill of working at a start-up that is starting to scale massively is something else. Simpl (FinTech startup of the year - 2020) was formed in 2015 by Nitya Sharma, an investment banker from Wall Street and Chaitra Chidanand, a tech executive from the Valley, when they teamed up with a very clear mission - to make money simple, so that people can live well and do amazing things. Simpl is the payment platform for the mobile-first world, and we’re backed by some of the best names in fintech globally (folks who have invested in Visa, Square and Transferwise), and has Joe Saunders, Ex Chairman and CEO of Visa as a board member.

Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards the long term vision of “making money Simpl”. Our first product is a payment platform that lets people buy instantly, anywhere online, and pay later. In the background, Simpl uses big data for credit underwriting, risk and fraud modelling, all without any paperwork, and enables Banks and Non-Bank Financial Companies to access a whole new consumer market.

In place of traditional forms of identification and authentication, Simpl integrates deeply into merchant apps via SDKs and APIs. This allows for more sophisticated forms of authentication that take full advantage of smartphone data and processing power.



  • Building highly scalable and performant systems.
  • Complete ownership of services, maintaining SLAs, monitoring and resolving bugs without delay when it occurs.
  • Work with data scientists and data analysts to deploy the ML models, automate reports and improve the query performance.
  • Develop high quality code by following industry best practices.
  • Completely own a feature development from analysis, design, development to deployment.


  • 3+ years experience in python.
  • Experience in building python services with Flask, FastAPI, Redis, RDS among others.
  • Good in DB modelling and able to write complex SQL queries.
  • Good at writing unit tests and writing documents for the code.
  • Experience in AWS, Kafka, Docker, Dynamodb, ECS, RDS, Aurora

Nice to have

  • Experience in Big Data ecosystems.
  • Experience in workflow management like Airflow.
  • Experience in Redshift.