Responsibilities:
Keep the manual test cases updated;
Come up with testing procedures to validate functional, system, and performance requirements for new features;
Ensuring the quality of releases for the features by running the test cases and reporting them;
Work with the Customer Support team to reproduce customer problems and provide solutions;
Set up test environments as required, services and databases;
Write and maintain automated test suites for functional and performance testing;
Participate in the product feature specification with Product Managers, UX engineers and developers to understand the test the same;
Design & build automation smoke, feature & regression tests;
Prepare Automation Test Plans for Service Level Tests, Integration Tests and UI tests as needed;
Write feature use cases in BDD to drive the creation of automated test cases;
Participate in Release/Iteration planning, smoke, feature and regression test planning.
Requirements:
Hands on experience in java, selenium, CI tools like Cucumber / BDD, Jenkins, Maven, GITHub etc.,
Strong skills in automation test framework development using Selenium;
Highly motivated self-starter with a desire to help others and take action;
Experience with one or more programming languages: C#, Java, Node.JS/JavaScript, Go, Python;
At least 2 year of experience in QA automation;
Excellent written and communication skills;
Exposure to API Testing and performance testing using JMeter will be a plus.

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About Streamoid Technologies Pvt Ltd

Founded :

2012

Type

Size

Stage :

Raised funding

About

Streamoid is a leading AI technology partner for fashion retailers. We focus on infusing styling intelligence to products and processes to increase productivity by at least 10X and reduce complexity of management. We make your business style aware. In Cataloging : The streamoid Cataloging tool uses fashion AI to auto generate relevant product attribute tags. Reducing overall training and management costs and time to market by 80%. 2. In Ecommerce: We make style aware search and product recommendations increasing the relevance of the products shows within the context of fashion. 3. In Personalisation As we understand a customer preferences and style, we automatically personalise feed and product recommendations for that specific customer. 4. In Retail Intelligence We match your catalog with your customers style preferences and give you a completely different view and much more. All our products are active self learning systems so every catalogue and customer interaction adds knowledge to Streamoid's Fashion AI Platform. And what's more we never forget what we learn. A hallmark of a super intelligent system. Fact Sheet: • Incorporated in 2013 (US) with Indian Subsidiary • Angel funded, started operations in 2014 • 4 patents granted and 4 under process * 45 Full-Time-employees.

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