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SS&C Technologies

fund administration · investment management software

Lead Auto QA Engineer

HyderabadPosted 29 days ago
Software QualitySeniorFull Time; Regular
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As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Responsibilities Job Description Develop test scripts for Wealth Management and Investment PlatformAnalyse Regression failures and raise regression defectsDebug and fix existing script failuresAnalyse and update regression test scope to improve regression coverageUndertake Code ReviewsProvide detail reporting on regression statusContribute to continual improvement process Required Skills: ISTQB Foundation Level certified or similar qualification.Net experience in test automation. VB.net is an added advantageExperience in Selenium automation frameworks with strong understanding of Object Oriented conceptsStrong SQL experience and basic understanding of relational databasesExposure to API testing using SeleniumExperience working within the financial services industry preferably wealth management experience (Investment Products & Retirement Solutions)Familiarity with JIRA, Confluence, HP ALM, Team City & OctopusStrong communicational skills both written and verbalGreat team player and individual contributor with strong problem-solving and analytical skills Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Applications will be accepted on an ongoing basis until the position is filled. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws. .

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