We are looking for experienced Quality Assurance (QA) Automation Lead to design and develop test plans and automation test strategy based on product requirements. The QA Automation Lead will have the responsibility of managing the automation suite for DataCubes’ product suite. This position is responsible for participating in all aspects of testing, including functional, regression, load and system testing.

Responsibilities:

• Lead all aspects of software quality assurance for DataCubes’ product suite
• Act as the lead in root cause analysis work for complex software and data issues
• Define strategy for and create detailed test plans, test case development, test execution and results documentation
• Assist all aspects of system testing, regression testing and UAT testing
• Drive the Automation Framework/Maturity Models by partnering with development teams early in the development phase to create/perform automated testing
• Integrate automation in continuous build environment

Technical skills demonstrated

• 10+ years experience developing automating test suites coupled with expert level experience with manual testing
• 10+ years experience with QA tools and techniques. Including but not limited to test suite software, automation tools, defect tracking systems, business requirement documentation systems, etc
• 10+ years experience taking requirements and creating test suites with the ability to see the bigger impact of systems changes across multiple systems
• 5+ years of experience in a software testing/quality assurance role, including strong UI testing automation, designing test strategies, performance and security testing tools and strategies
• 5+ years of experience with JavaScript UI and Angular JS testing frameworks
• 3+ years of experience with Selenium and AWS is preferred
• Experience testing data and analytics systems preferred

Communication / Interpersonal skills demonstrated:

• Gaining knowledge on the organization’s processes as they evolve and change; recommending changes
• Enjoys working in a highly feedback oriented team setting
• Motivated by the "always on" startup environment

Education

• MS in Computer science preferred
• Data Science coursework preferred