Lead Auto QA Engineer

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 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. VB.net 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.