QA Automation Engineer

QA Automation Engineer Location & Interview Requirements Mandatory

• Kindly candidates currently residing in Bangalore or Chennai
• Candidates must be

  willing to attend the 2nd-level interview through F2F – Mandatory

  .
• F2F interviews will be conducted in Bangalore or Chennai
• Candidates who are

  not willing to attend the F2F 2nd-level interview should not be considered.

• Please ensure the candidate's current location is clearly mentioned while sharing the profile.

Job Overview

• 4+ years of experience in QA and Automation Testing

  .

• Strong hands-on experience in Python – Mandatory

  .
• Good hands-on experience in

  SQL – Mandatory

  .
• Experience in

  Pytest

  .
• Hands-on experience in

  API Testing / REST API Testing

  .
• Experience in

  Selenium

  for web application automation.
• Experience with

  Robot Framework

  .
• Good understanding of

  Test Cases, Test Plans, Test Strategies, Test Execution, and Test Reporting

  .
• Strong understanding of

  SDLC and STLC processes

  .
• Experience with

  Git/version control tools

  .

• Excellent communication skills – Mandatory

  .

Key Responsibilities

• Design, develop, and execute test cases, test plans, and test strategies.
• Perform functional, regression, integration, API, and web application testing.
• Develop and maintain automation scripts using Python.
• Perform REST API testing and validate backend services.
• Write and execute SQL queries for database validation.
• Identify, report, track, and validate defects throughout the testing lifecycle.
• Prepare test reports and communicate testing status, risks, and issues to stakeholders.
• Collaborate with developers, product managers, and other stakeholders to ensure product quality.
• Follow SDLC and STLC processes.
• Use Git/version control tools for managing automation code and test assets.

Good to Have

• Knowledge of

  AWS

  .
• Experience with

  Jira

  .
• Experience in the

  Healthcare/Medical domain

  .
• Knowledge of testing

  LLM/Generative AI applications

  .
• Self-driven and proactive approach.
• Ability to work independently and collaboratively.