TLV Fintech is a global technological solutions company that provides digital payment solutions or consultancy to financial companies worldwide.
We are looking for a QA Lead, where you will play a key role in both the key QE specific deliverables throughout a project's lifecycle as well as contribute towards the automation tooling initiative to support accelerated test execution. You will be required to provide research, analysis, design, execution, maintenance and / or support of testing solutions that are appropriate to the application, solution and project as assigned. You will interact with business stakeholders, business analyst teams, development teams, and senior management.
Successful candidates should be passionate about owning the delivery and implementation of the test strategy and automation solutions to support end-to-end testing while meeting all stakeholder objectives.
Build a team of Test engineers. Prepare test planning, preparation and execution in support to multiple Channel Platform teams, ensuring established standards are met and planned objectives are achieved
Prepare test strategy, test plan, test cases and traceability matrices based on complex business requirements documents and system design documents.
Create QE estimates by working with other teams
Actively participate in the walkthrough sessions with business and technical teams
Prepare defect logs, facilitate defect triaging, regular status reporting, test phase closure reports, entry/exit criteria and SDLC gating
Actively Contribute to and maintain team's automation tool set.
Actively Contribute and shape the Cloud Testing Capability.
Responsible for planning and executing end-to-end testing across all testing phases within a Project/Program.
Responsible for planning and coordinating production deployment verification.
Pro-actively seek to make continuous improvements to test coverage, execution and test automation
Lead Test Automation and Data strategy and properly articulate environment needs and dependencies.
Lead and support design and development of reusable automation test scripts, conduct code reviews and ensure continuous maintenance and utilization
Create and / or maintain automated test data sets as well as validate test environments.
Conduct data quality assessment & design solutions to detect and improve test data quality
Ensure all test artifacts and activities adhere to testing standards, satisfy gating criteria and audit requirements and are stored in the project SharePoint site.
Contribute to and maintain team's internal knowledge base and mentor other QE resources
Work with JIRA for automation deliverables, test case management, defect management, test reporting, and other functions.
Graduate degree in Computer Science or Software Engineering
5+ years of Testing experience
Experience in Banking Domain and customer channels is advantageous
Experience working on Agile Projects and exposure to collaboration tools JIRA, Confluence.
Advanced knowledge of testing and software development practices in Mobile and Online applications and methodologies, version control practices and defect management practices
Solid understanding of diverse technologies and distributed systems, with the ability to understand and acquire new technical skills.
Strong working experience of creating automation solutions using JAVA and Selenium Webdriver for web-based applications and Appium and SeeTest for Mobile automation.
Experience in REST API / Middleware testing primarily using native/third party Java libraries
Experience in automation using SOATest and Java for API/services testing
Strong working experience on JAVA, Maven/ANT, Behavior Driven Development, Continuous Integration Tools, GIT, Jenkins
Strong Working experience in testing Applications on cloud preferably Azure
Experience in writing SQL (data retrieval/update/inserts) on DB2 / Oracle / MS SQL Server/No SQL
Experience in server-side testing
Experience with Accessibility testing on Web based and Mobile Applications
Basic experience working on server platforms physical or cloud (Windows Server/Linux)
Knowledge in QE methodologies and best practices