Senior QA Engineer (Remote)

DataFin; Cape Town, Johannesburg; Remote; ZAR 600,000 - 800,000; Full time

Job summary

A leading FinTech company in Cape Town is seeking a Senior QA Engineer to design AI-driven quality assurance solutions. You will develop scalable automation frameworks, ensuring high-quality digital payment solutions. The ideal candidate has strong experience in CI/CD integration, automation frameworks, and is proficient in tools like Cypress and Postman. This role requires collaboration across teams and a focus on customer needs.

Qualifications

• Strong proficiency in designing, developing and maintaining reusable, scalable automation frameworks.
• Deep understanding of RESTful APIs and complex system interactions.
• Strong understanding of CI/CD pipelines.

Responsibilities

• Design and implement robust end-to-end quality processes.
• Collaborate with product and engineering to define clear acceptance criteria.
• Develop AI-powered systems and automation solutions for testing.

Skills

Automation Frameworks

CI/CD Integration

Quality Lifecycle Management

Tools

Cypress

Postman

BrowserStack

Jira

Job description

Overview

ENVIRONMENT: A cutting-edge FinTech company shaping the future of digital payments across Africa seeks a Senior QA Engineer whose core mission will be to design and build AI-driven, scalable solutions to automate quality assurance, empowering Engineers to deliver exceptional payment solutions. This will involve creating an AI-powered quality ecosystem that guides work from product stories to deployed code, all while maintaining clear oversight of quality metrics and aligning with merchant needs. The ideal candidate will possess strong proficiency in designing, developing and maintaining reusable, scalable automation frameworks (Cypress for UI, Postman/Newman for API), coupled with a deep understanding of RESTful APIs and complex system interactions, strong understanding of CI/CD pipelines & be proficient in using test case management tools (e.g. BrowserStack) and Jira for comprehensive quality lifecycle management.

Duties

Engineering Quality & Automation

• 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.

Customer Focus & Coaching

• 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.

Requirements

Automation Frameworks: Strong proficiency in designing, developing and maintaining reusable, scalable automation frameworks (Cypress for UI, Postman/Newman for API), coupled with a deep understanding of RESTful APIs and complex system interactions.

CI/CD Integration: Strong understanding of CI/CD pipelines and experience integrating automated quality gates and tests into continuous delivery workflows.

Quality Lifecycle Management: Proficient in using test case management tools (e.g. BrowserStack) and Jira for comprehensive quality lifecycle management.

Advantageous

• 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.

Attributes

Strategic Solution Design: Ability to design elegant, scalable solutions for new payment integrations and to tackle systemic quality problems at scale.

Proactive Ownership: Take initiative, own projects end-to-end, thrive in fast-paced, high-scale environments, and proactively identify and propose solutions for quality gaps while abstracting testing complexity.

Cross-Functional Collaboration: Work effectively in fully remote teams, with strong written and verbal English communication skills, comfortable collaborating cross-functionally with product, operations, and external partners.

Technical Articulation: Ability to clearly articulate complex technical and quality concepts to diverse audiences.

Mentor and empower Engineers in quality practices and tooling through constructive feedback.