Lead Auto QA Engineer

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. Job Description Responsibilities Develop test scripts for Wealth Management and Investment Platform Analyse Regression failures and raise regression defects Debug and fix existing script failures Analyse and update regression test scope to improve regression coverage Undertake Code Reviews Provide detail reporting on regression status Contribute to continual improvement process Required Skills: ISTQB Foundation Level certified or similar qualification .Net experience in test automation. is an added advantage Experience in Selenium automation frameworks with strong understanding of Object Oriented concepts Strong SQL experience and basic understanding of relational databases Exposure to API testing using Selenium Experience working within the financial services industry preferably wealth management experience (Investment Products & Retirement Solutions) Familiarity with JIRA, Confluence, HP ALM, Team City & Octopus Strong communicational skills both written and verbal Great 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.