As a Staff Automation Test Engineer, you will play a crucial role in running test scripts to verify the Revenue Edge product from end to end. Your responsibilities will include analyzing automation test results, sending test reports to cross-functional teams, and working with Python and Robot Framework. This position requires a strategic mindset where development speed and execution efficiency are of utmost importance. - Design, develop, and automate end-to-end test cases for a complex NMS GUI application, ensuring comprehensive coverage of networking and fiber-optic features. - Leverage frameworks like Robot Framework, PYART, Playwright to build robust, maintainable automated test suites for GUI and API testing. - Drive the test automation project lifecycle from planning strategies to execution and results analysis. - Mentor junior automation engineers, conduct code reviews, and collaborate with other teams to enhance product quality and team efficiency. - Continuously analyze testing processes to identify gaps and propose improvements in methodologies, tools, and frameworks. To qualify for this role, you should have:
12+ years of experience in software test automation, with a focus on network management systems and networking domains. - Strong background in networking, fiber optics technology, and proficiency in GUI test automation frameworks. - Advanced skills in developing automated tests for GUI and APIs, expertise in Python, and experience with CI/CD tools. - Proven leadership abilities to lead technical projects in test automation and coordinate efforts across departments. - Bachelor's degree in Computer Science or related field, with relevant certifications being a plus. The Staff Engineer role is a senior position that requires technical proficiency, initiative, and the ability to drive quality initiatives. This role offers an opportunity to influence cutting-edge network management solutions and mentor a growing QA automation team. (Note: This job is based in Bangalore, India with a flexible hybrid work model.) As a Staff Automation Test Engineer, you will play a crucial role in running test scripts to verify the Revenue Edge product from end to end. Your responsibilities will include analyzing automation test results, sending test reports to cross-functional teams, and working with Python and Robot Framework. This position requires a strategic mindset where development speed and execution efficiency are of utmost importance. - Design, develop, and automate end-to-end test cases for a complex NMS GUI application, ensuring comprehensive coverage of networking and fiber-optic features. - Leverage frameworks like Robot Framework, PYART, Playwright to build robust, maintainable automated test suites for GUI and API testing. - Drive the test automation project lifecycle from planning strategies to execution and results analysis. - Mentor junior automation engineers, conduct code reviews, and collaborate with other teams to enhance product quality and team efficiency. - Continuously analyze testing processes to identify gaps and propose improvements in methodologies, tools, and frameworks. To qualify for this role, you should have:
12+ years of experience in software test automation, with a focus on network management systems and networking domains. - Strong background in networking, fiber optics technology, and proficiency in GUI test automation frameworks. - Advanced skills in developing automated tests for GUI and APIs, expertise in Python, and experience with CI/CD tools. - Proven leadership abilities to lead technical projects in test automation and coordinate efforts across departments. - Bachelor's degree in Computer Science or related field, with relevant certifications being a plus. The Staff Engineer role is a senior position that requires technical proficiency, initiative, and the ability to drive quality initiatives. This role offers an opportunity to influence cutting-edge network management solutions and mentor a growing QA automation team. (Note: This job is based in Bangalore, India with a flexible hybrid work model.)