ICube’s mandate is to produce software to improve processes for both internal and external customers. To support quality delivery of the software, a Quality Analyst oversees the process of software delivery by ensuring efficiency in the operations and reliability of the software product.

KEY RESPONSIBILITIES

As a member of the team, you are required to:

• Ensure quality of the sprint planning process by ensuring best practices are adhered to in the process.
• Take part in story kickoffs alongside the other relevant team members to ensure the entry criteria into development is attained.
• Take part in desk checks, to ensure that a story, task meets the minimal acceptance criteria before it is said to be done.
• Write automated tests to facilitate regression testing in the event of the addition of new features that could potentially break the existing features.
• Perform manual exploratory testing.
• Perform automated load testing

Knowledge, experience & skills:

• Ability to create automated functional, performance and regression tests.
• You have (some) programming experience, preferably with Java or JavaScript
• A minimum of 4 years working experience as an intermediate quality analyst.
• Ability to contribute to story preparation and acceptance Criteria.
• Ability to create test data.
• Ability to perform exploratory testing.
• Ability to ensure robustness of the application.
• Independent, trustworthy and charismatic with absolute integrity.
• Good measure of creativity, social competence and ability to work in a team.
• Entrepreneurial and a “can do attitude”
• High energy levels, stress resistance and cultural openness will be therefore highly valued
• Technology Stack include: Selenium Webdriver/Cypress, SoapUI, Browser Stack, JMeter/Locust, OWASP Zed Attack Proxy (ZAP)
• Experience with Scrum/Agile development methodologies.
• Knowledge of banking services will be an added advantage.
• Ability to use version control software such as GIT.
• Continuous Integration / Continuous Deployment
• Experience with relational databases.