Automation Test Analyst - Talent Pool

Discovery Insure is committed to creating a nation of great drivers through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor and home insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well.

The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover.

Design, build and maintain scalable automation frameworks and test suites (UI, API, mobile and performance) that run within CI/CD pipelines, with a platform-first approach that supports configurable, multi-tenant solutions and validates behaviour across different tenant configurations, and apply AI-assisted testing tools and techniques to improve speed, coverage and quality, including the testing of AI-enabled products and features.

- Matric (Essential).

- Bachelor's degree in Computer Science, Information Systems, Engineering or a related field (or equivalent experience).

- ISTQB Certified Tester Foundation Level (Essential); ISTQB Advanced Test Automation Engineer or a recognised test automation certificate (Advantageous).

- ISTQB Certified Tester AI Testing (CT-AI) or Microsoft Azure AI Fundamentals (AI-900) (Advantageous).

- Cloud or DevOps certification, such as Microsoft Azure AZ-900 or AZ-400 (Advantageous).

- 3-5 years as an Automation Test Analyst, including building automation frameworks from scratch (Essential).

- 1 Year Test Analysis in a short-term insurance environment (Advantageous).

- Experience integrating automated tests into CI/CD pipelines (Essential).

- Experience testing AI/ML or LLM-based solutions, or using AI tools within the testing process (Advantageous).

- Experience mentoring junior testers (Advantageous).

- Design, build and maintain automation frameworks and test scripts for front end (web and mobile), API and back-end services.

- Apply a platform-first approach to test automation, ensuring automated tests validate core platform functionality as well as tenant-specific configuration, rules and behaviour.

- Design reusable, configuration-driven automated test suites that can execute across multiple tenants and configurations without duplicating test scripts for each implementation.

- Identify test conditions and create test designs, test cases, test procedure specifications and test data, applying risk-based testing techniques.

- Integrate automated test suites into CI/CD pipelines so that tests run on every build, and execute, log and evaluate the results, documenting problems found.

- Monitor test execution and test environments, and gather and report on quality and automation metrics (coverage, pass rates, defect trends and execution times).

- Review work, including test specifications, defect reports and test results, and coach junior testers on automation standards.

- Review and contribute to test strategies and test plans, and analyse, review and assess requirements and design specifications early in the delivery cycle.

- Use AI-assisted tools (e.g. GitHub Copilot, self-healing and visual AI testing tools) to generate test cases, scripts and test data, and to speed up failure analysis.

- Test AI-enabled features (e.g. chatbots, LLMs and machine learning models) for accuracy, hallucinations, bias, consistency and prompt-injection risk.

- Perform non-functional testing, including performance, load, security and accessibility testing.

- Work in agile delivery teams with developers, business analysts and product owners to build quality in from the start.