Quality Assurance Automation Engineer

4 weeks ago


Bengaluru, Karnataka, India PharmEasy Full time

We are seeking a highly skilled QUALITY ASSURANCE - Automation Test Engineer to join our team. The successful candidate will be responsible for designing, developing, and executing manual and automated tests to ensure the quality and reliability of our software products. As an Automation Test Engineer, you will work closely with the product and development team to identify test scenarios, create test scripts, and automate test cases to streamline the testing process. Experience with AI-powered test automation tools or frameworks is a strong plus.

Responsibilities :

- Collaborate with cross-functional teams to understand product requirements and develop comprehensive test plans.

- Ensure comprehensive test coverage and validate test results.

- Execute manual and automated tests, analyze test results, and report defects to the development team.

- Design and implement automation test scripts using industry-standard tools and technologies.

- Maintain and enhance existing automation test suites to accommodate changes in software functionality.

- Stay updated on emerging trends and technologies in test automation and incorporate them into our testing processes.

Requirements :

- BE/B.Tech/MCA in Computer Science, Engineering, or related field.

- Experience in software testing with a focus on test automation.

- Expertised in at least one programming language (Java / Python).

- Proficiency in at least one of the Databases (SQL/NoSQL).

- Hands-on with automation tools such as Rest Assured, PlayWrite/Selenium, or Appium.

- Knowledge of performance test tools such as Jmeter or Gatling.

- Strong understanding of software testing principles, methodologies, and practices.

- Excellent problem-solving skills and attention to detail.

- Ability to work independently and in a team environment.

- Strong communication and interpersonal skills.

- Experience with Agile/Scrum development methodologies.

- Working knowledge or experience in AI/ML-based testing frameworks is an added advantage

(ref:hirist.tech)

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