Test Automation Engineer | IBM | Pune, Maharashtra, India

Position: Test Automation Engineer

Location: Pune, Maharashtra, India

Your Role and Responsibilities

The QA Automation engineer having experience with agile methodology and who can develop system level test and automate them. Ability to work on Windows and Unix systems. The QA Automation Engineer will work closely with software engineers in an agile team to ensure the quality of code and products. This role will be responsible for creating and executing automated test harnesses, testing and reporting manual scenarios, testing new features, patches or hot fixes of the product and automate

As an Automation Engineer, you will play a crucial role in designing, developing, and implementing automated solutions to streamline our processes, increase efficiency, and optimize productivity. You will collaborate with cross-functional teams to identify automation opportunities, design robust automation frameworks, and execute end-to-end automation testing.

Required Technical and Professional Expertise

• 7+ years of IT experience
• Strong programming skills in Java.
• Proficiency in automation tools/frameworks such as Selenium WebDriver.
• Experience working with continuous integration and delivery (CI/CD) tools such as Jenkins, Git, and JIRA
• Hands-on experience with API testing and automation tools like Postman or SoapUI.
• Familiarity with relational databases and ability to write SQL queries for data validation and verification.
• Knowledge of Agile/Scrum methodologies and experience working in an Agile development environment.
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to multitask, prioritize work effectively, and thrive in a fast-paced, deadline-driven environment.

Preferred Technical And Professional Expertise

• Experience with cloud-based platforms (e.g., AWS, Azure, Google Cloud) and their automation tools.
• Big data knowledge.
• Unix knowledge.

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