Job Description
Johannesburg – Gauteng – South Africa, Cape Town – Western Cape – South Africa, Kenya, Remote
- End-to-End Quality Processes: Design and implement robust end-to-end quality processes within the pod, ensuring seamless adherence to quality standards and comprehensive testing.
- Acceptance Criteria & Standards: Collaborate with product and engineering to define clear acceptance criteria and align on test quality standards.
- AI-Powered Automation: Develop AI-powered systems and automation solutions to empower Engineers in generating test scenarios and writing high-quality test code.
- Framework Development: Build reusable automation frameworks and libraries to simplify and enhance test creation.
- Quality Metrics & Insights: Oversee and report on key quality metrics, providing actionable insights to improve pod deliverables and link quality directly to product stability.
- Merchant-Centric Testing: Embed merchant needs and user scenarios directly into automated test cases and quality processes.
- Customer Advocacy: Act as the voice of the customer within Engineering, advocating for solutions that effectively address merchant pain points.
- Engineer Enablement: Guide and coach Engineers on effective testing standards, test design, and writing high-quality automated tests.
- Risk & Security Integration: Audit and review test coverage and code quality, contributing to risk identification (including Abuse Case Testing) and integrating threat modeling with the Security team.
- Experience building internal developer tools or automation solutions.
- Strong understanding of AI/ML concepts relevant to testing.
- Proficiency in data analysis tools (e.g. SQL, dashboarding tools) to derive actionable insights.
- Understanding of financial/payment industry standards (e.g. PCI DSS awareness) and associated security risks.
- Strong understanding of the AWS environment and tech stack.
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