QA Automation Engineer @ Carnera Technologies

• Build automation tools and test automation frameworks from scratch.

• Closely work with Software engineers to understand the application design and specifications before designing and developing comprehensive test automation suites with thought-through scenarios and test data based on application functionalities.

• Design and develop test automation frameworks for both web and mobile applications.

• Configure, run and monitor any cloud and/or DevOps environments related to automation and project

• Identify and develop test strategies, plans, and test cases

• Automate tests using home-grown and open-source test frameworks

• Spearhead Automation efforts across multiple projects using the latest test frameworks.

• Develop reusable tools for test automation and identify new methods for automation.

• Work closely with Architects, Tech Leads, and Software Engineers to understand the automation requirements.

• Execute and do failure analysis to compliment manual test team efforts to accomplish scheduled release timelines with high quality.

You will enjoy this role if you...

• are passionate about automation and working with Cloud Platforms (AWS, Kubernetes)

• are interested in sustaining current QA processes while implementing new ones.

• have a strong interest in new automation frameworks, technologies, and trends

Qualifications

• 4+ years of experience building test automation for web or mobile apps

• 2+ years experience with REST API test automation using languages like JavaScript or Python or Java or TypeScript

• Experience with end to end testing tools such as Selenium, Cypress, Nightwatch, Protractor

• Experience with BDD tools such a Cucumber or similar.

• Hands-on in API testing techniques and tools

• Familiarity and knowledge about CI/CD tools like Jenkins, Gitlab, CircleCi

• Experience preparing test data based on the business scenarios and creating tools and scripts to manufacture test data.

• Strong interest in new automation technology and trends with the ability to relate concepts to practical application

• A strong foundation in computer science, with strong competencies in data structures, algorithms, and software design.

• Communication: You like discussing a plan upfront, welcome collaboration, and are an excellent verbal and written communicator.

• Bachelor s degree in Computer Science or equivalent experience.