Source description
About the role
Experience with artificial intelligence (AI) tools to optimize workflows, problem-solving, and productivity.
Proven expertise in software quality assurance, with a minimum of 5 years of experience in Agile development environments and a deep understanding of QA methodologies, tools, and processes.
Exceptional verbal and written communication skills, with the ability to craft clear, concise, and comprehensive test plans, cases, and documentation.
Hands-on experience with automated testing tools and frameworks such as Playwright, Selenium, Geb, Groovy, Cucumber, JavaScript, and WebDriverIO, as well as API testing tools like Postman and REST-assured.
Proficiency in programming languages including Java, Python, JavaScript, and Angular.
Strong working knowledge of PL/SQL and experience using Oracle relational databases for data validation and testing.
Familiarity with CI/CD pipelines and related tools, including Jenkins, and monitoring platforms such as Splunk; experience using the Atlassian suite (JIRA, Bitbucket, Confluence) to manage and track testing activities.
Excellent analytical and problem-solving abilities, with a keen eye for detail and a methodical approach to troubleshooting.
Highly organized, self-motivated, and able to manage multiple priorities in a fast-paced, results-driven environment.
Willingness to provide on-call production support outside regular business hours, as needed.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred).
Experience with Amazon Web Services (AWS) is a plus.
Prior experience working with offshore teams is a plus.
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