CONTD FROM F.6A MMPS Compensation Survey US Report 9132021br br CONTD FROM H.10B and Cloud based architecture in a Defined Contributions DC financial services environment.br br Education and Experiencebr br Bachelors degree or foreign education equivalent in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five 5 years of experience in the job offered or five 5 years of experience performing software quality assurance engineering, using mainframe and Cloud based architecture in a Defined Contributions DC financial services environment.br br Or, alternatively, Masters degree or foreign education equivalent in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three 3 years of experience in the job offered or three 3 years of experience performing software quality assurance engineering, using mainframe and Cloud based architecture in a Defined Contributions DC financial services environment.br br Skills and Knowledgebr br Candidate must also possessbr br Demonstrated Expertise DE analyzing and testing Defined Contributions DC recordkeeping application functionality and features application integration points 401k recordkeeping and reporting applications using IBM Mainframe and JIRA; and validating DC transaction types contributions, distributions, loans, managed accounts, participant setup, and endtoend functional, nonfunctional, and regression testing, using IBM Mainframe and JIRA.br br DE developing Agile quality engineering plans for DC products in mainframe, Spring based Web application frameworks, using IBM Mainframe and Cloud services; and performing business and systems requirements analysis at the component and integration level translating functional requirements for endtoend testing, test plans and cases, design and documentation of results, and defect tracking and reporting using Advanced Query Tool AQT, Structured Query Language SQL, JIRA, and Xray for dashboards.br br DE in DC recordkeeping software reinvention projects transforming systems from mainframe legacy platforms to Cloud architecture using Amazon Web Services AWS and Azure services; performing quality assurance engineering using Cloud services Data, Compute, Analytics, DevOps, Java, and JavaScript; and performing data engineering, using IBM DB2, Oracle, Azure SQL Server, Azure Data Factory ADF, and Extract Transform Load ETL technologies.br br DE designing, developing, implementing, and managing software automation frameworks for DC recordkeeping applications in ObjectOriented Programming OOP, and Web application and procedural methodologies, using Java, JavaScript, JSON, Cucumber, JIRA, Git, and Jenkins.
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