As a Sr. Analyst / QE Lead, you will responsible for developing and executing test strategies and test plans for releases with a focus on optimized coverage across workstreams
Maximize test automation coverage by bringing in automation first mindset and look for opportunities to shift-left testing in the delivery process
Work collaboratively with a cross-functional team across various workstreams
Lead a team of QE professionals and drive testing priorities to achieve the necessary business outcomes
Provide accurate and detailed QE test status to stakeholders, along with issues, trends and potential impact and drive timely resolution of impediments
Identify and select industry best practices, to support continuous process improvements and efficiencies in the overall QE processes at Economical
Participate in the coordination of the change/release management and production implementation processes and activities
Provide project and technical orientation and support for team members
Support development of insurance domain knowledge and understanding of business processes within the team
Bachelor's degree in Computer Science or related field
7+ years of Quality engineering experience with minimum 3 years of leadership experience in leading QE initiatives and increasing Test Effectiveness and Quality
5 + years of Digital QA experience (web and mobile)
Proficiency in at least one programming language such as Java / Python
Must have strong experience in the development and maintenance of Test Automation Frameworks for digital applications, APIs, and mobile using tools like Selenium, Tosca, Appium, Postman SOAPUI, Rest Assured etc.
Experience with Continuous Integration and Continuous Delivery approaches and experience working in a DevOps environment
Good understanding of RESTful web services and microservice architecture
Experience in the Insurance industry will be an asset
Experienced interacting and coordinating test activities amongst multiple teams
Excellent communication, analytical and problem-solving skills
Adapting quickly to changing conditions and providing approaches for pragmatic improvement and delivering results on time
Experience and understanding of Agile software development methodologies
Exposure to RDBMS such as Oracle or DB2. Knowledge and experience with SQL queries
