Sr. Quality Engineer
PROLIM Corporation
Location: New York, NY - onsite
Duration: 6 months
GBaMS ReqID: 10583534
Sr. Quality Engineer/ Mobile QE
Automation experience with tools like Monkey Talk, Selendriod, Appium, Katalon etc.
• Must have hands-on testing experience in iOS and Android mobile platforms by leveraging various functional and automated tools.
• Role requires at least minimal hands on AI experience, including practical usage of AI tools in testing workflows and familiarity with writing generic prompts.
• Looking for people who are pretty fluent in tools to help uplift others in AI usage within the team. (ie: people how have VS Code and Python experience to generate AI workflows or using VS Code Instructions to make prompting work better).
• Minimum 3+ years of mobile app Automation experience with tools like Monkey Talk, Selendriod, Appium, Katalon etc.
• Possesses deep knowledge on Functional, Integration, Regression, Exploratory, End to End,Compatibility, GUI, Web Services and Accessibility testing.
• Good Understanding of Swift, Kotlin or similar functional programming language.
• Strong programming abilities and debugging skills.
• Excellent API testing experience using Postman, IntelliJ Client, or similar tools.
• Strong experience with Debugging tools like Charles Proxy, Splunk, Sentry, Console or similar
• Excellent communication and team player.
• Experience with full life cycle software deployment using Agile practices
• Collaborate with Product, Design and Development teams to understand product requirements
and create comprehensive test plan and test cases.
• Execute functional and automated tests to verify the accuracy, completeness, and reliability of
functionality.
• Contribute to the development and enhancement of UI automated testing frameworks built on
Espresso (Android) and XCUITest (iOS).
• Analyze requirements and determine technical feasibility for Automation.
• Integrate automated tests into CI to identify issues during development cycle.
• Contribute to PR reviews, submit PRs, and contribute to the goal of 100% regression
automation readiness.
• Develop and maintain robust, scalable, reusable automated test scripts across applications.
Identify, document, and track defects, working closely with development teams to ensure timely resolution and retesting.
• Improve QA delivery and quality through defining test strategy, process improvements,
coordination with multiple backend teams.
• Work with the development team to define and implement mechanisms to inject testing earlier
into the software development process via mocking strategy.
• Prioritize competing demands, manage multiple concurrent tasks, adapt to changing priorities.
• Participating in regression testing to validate new enhancements don't negatively impact existing
functionality.
• Continuously improving the QA process and contribute to the development of testing best practices
Essential Skills: Must have hands-on testing experience in iOS and Android mobile platforms by leveraging various functional and automated tools.Role requires at least minimal hands on AI experience| including practical usage of AI tools in testing workflows and familiarity with writing generic prompts.Looking for people who are pretty fluent in tools to help uplift others in AI usage within the team. (ie people how have VS Code and Python experience to generate AI workflows or using VS Code Instructions to make prompting work better).Minimum 3 years of mobile app Automation experience with tools like Monkey Talk| Selendriod| Appium| Katalon etc.Possesses deep knowledge on Functional| Integration| Regression| Exploratory| End to End|Compatibility| GUI| Web Services and Accessibility testing.Good Understanding of Swift| Kotlin or similar functional programming language.Strong programming abilities and debugging skills.Excellent API testing experience using Postman| IntelliJ Client| or similar tools.Strong experience with Debugging tools like Charles Proxy| Splunk| Sentry| Console or similarExcellent communication and team player.Experience with full life cycle software deployment using Agile practices.
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