Arun Kumar

A Python-based microservices app for event recordings and sharing. As the back-end developer, I developed AWS Lambda services and deployed them as serverless computing services to reduce running costs and administrative efforts. I used AWS Amplify to create and maintain environments.

An automation framework for a popular eCommerce application that has millions of users and achieved billions in revenue. As a lead SDET, I enabled faster execution by creating the framework using Selenium WebDriver with Python 3 for web UI tests that used to run against mock back-end services. I also automated most of the API tests using stubs to get faster feedback, high reliability, and better coverage. Only the critical API regression tests were covered at the integration level.

As a principal QA engineer, I built the test automation project from the ground up. I used Selenium WebDriver with Python 3 for web UI tests and RESTest, a wrapper around Python 3 requests, for back-end API tests. I incorporated autologging for logging test steps and error stack trace to a log file. I built a test case management system, which was also responsible for executing the tests on the cloud or a local setup. All results were collected and written to a PostgresSQL database. I automated most of the tests using stubs to get faster feedback, high reliability, and better coverage. Only the critical regression tests were covered at the integration level.

At Qube Cinema, I was involved in a DCI certification project that required embedded product testing and web services API testing. Since nobody on my team had in-depth domain knowledge, I took the initiative to own the project. I built the test tools needed to validate the test specifications, which reduced the huge expense of procuring the tools. We automated all the tests to run every day, and automated status reports were shared with stakeholders. Certified laboratories executed the DCI compliance test plan, and we received DCI certification with no failures for several key products.