MS ADMS

3 weeks ago


Charlotte, United States Cognizant Full time

Job SummaryWe are seeking a Test Lead with 10 to 12 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in OMS ADMS DMS Generative AI SCADA and GE ADMS. Experience in Smart Grid Operations is a plus. The role involves ensuring the quality and reliability of our systems contributing to the companys success and impacting society positively.ResponsibilitiesLead the testing efforts for OMS ADMS and DMS systems to ensure high-quality deliverables.Oversee the integration and testing of Generative AI solutions within existing systems.Provide expertise in SCADA and GE ADMS to enhance system performance and reliability.Collaborate with cross-functional teams to identify and resolve testing issues efficiently.Develop and implement comprehensive test plans and strategies for complex systems.Ensure adherence to industry standards and best practices in testing methodologies.Monitor and report on testing progress providing insights and recommendations for improvement.Utilize advanced testing tools and techniques to optimize testing processes.Coordinate with stakeholders to understand requirements and ensure alignment with project goals.Analyze test results and provide detailed feedback to development teams for continuous improvement.Contribute to the development of automated testing frameworks to streamline testing efforts.Ensure that testing activities align with the companys objectives and contribute to societal benefits.Maintain up-to-date knowledge of industry trends and emerging technologies in testing.QualificationsPossess strong technical skills in OMS ADMS DMS Generative AI SCADA and GE ADMS.Demonstrate experience in Smart Grid Operations is highly desirable.Exhibit excellent problem-solving and analytical skills.Show proficiency in developing and executing test plans and strategies.Display strong communication and collaboration abilities.Have a keen attention to detail and a commitment to quality.Be adaptable to a hybrid work model and capable of working independently. #J-18808-Ljbffr


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