Sr Automation QA Engineer with Kafka Testing

Job Details

We are seeking a talented Senior Automation QA Engineer with expertise in API and UI testing data reporting CI/CD integration and Kafka testing to join our team. As a key member of the QA team you will be responsible for ensuring the quality and reliability of our software products through automated testing and reporting processes.

Responsibilities:

• Develop and maintain automated test scripts for API testing using Rest assured and Selenium ensuring comprehensive coverage of API endpoints and functionality.
• Implement UI testing using Selenium or Selenide Automation for web application testing including functional regression and crossbrowser testing.
• Design and develop a data reporting system to store UI and API test data and results in a PostgreSQL database and create a dashboard for visualizing test results and trends.
• Integrate the test results repository with a test management tool for streamlined test execution and reporting.
• Implement CI/CD integration for automated testing processes ensuring seamless testing within the continuous integration and deployment pipeline.
• Conduct Kafka testing from data production in a bona fide Kafka cluster to subsequent consumption to validate message processing and data integrity.

Required Skills and Qualifications:

Proven experience in API testing using RestAssured and Selenium for automated testing of RESTful services and web APIs.

Strong expertise in UI testing using Selenium or Selenide Automation for web application testing.

Proficiency in data reporting and visualization with experience in storing test data and results in a PostgreSQL database and creating dashboards for test result visualization.

Experience with integrating test result repositories with test management tools for improved test execution and reporting.

Familiarity with CI/CD practices and tools with the ability to integrate automated testing into the continuous integration and deployment process.

Handson experience in Kafka testing including data production consumption and validation within a Kafka cluster