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A leading company in software quality assurance is seeking a QA Automation Specialist in Gauteng. The role involves assessing current QA practices, defining implementation strategies for automation, and establishing metrics for continuous improvement. Candidates should possess a relevant degree and strong problem-solving skills, alongside proficiency in SQL and Excel. This position offers an opportunity to influence QA processes and contribute to a culture of excellence.
Assess Current QA Practices: Review manual testing processes, coverage, and defect workflows.
Identify risks and inefficiencies affecting automation readiness and reliability.
Define Implementation Strategy Using the Chosen Framework: Provide a detailed test automation plan.
Establish Governance and Ownership: Define responsibilities for test automation execution and maintenance.
Recommend version control, test lifecycle processes, and coding standards.
Design for Scalability and Maintainability: Propose modular test design for scalability.
Recommend strategies to reduce test flakiness through better data management.
Integrate with CI / CD and Delivery Workflows: Define how automated tests integrate with CI / CD pipelines (e.g., triggers, reporting).
Recommend quality gates (e.g., pass rates, code coverage thresholds).
Propose a Future-Proof Roadmap: Deliver a phased plan to expand automation (e.g., smoke, regression, API).
Include timeline for non-functional automation (e.g., performance, accessibility).
Establish Metrics and Continuous Improvement: Recommend QA KPIs (e.g., defect leakage rate, automation ROI).
Propose a continuous improvement loop for better coverage, speed, and effectiveness.
Ensure excellent software Quality Assurance to test and simulate all possible SIT and UAT test scenarios, including manual and automation testing QC standards.
Develop test plans for SIT, UAT, and Production Release testing.
Require adequate SQL, Microsoft Access, and Microsoft Excel skills.
Willingness and ability to learn other QC tools.
Fundamentals of Software Development.
Critical thinking skills.
Strong problem-solving skills and attention to detail.
The ability to clearly communicate complex test results to both technical and non-technical audiences.
College or University degree in Statistics, Mathematics, Computer Science, or a quantitative field.