Quality Assurance Tester (Contract)

The Focus Group; Sandton; On-site; ZAR 350,000 - 650,000; Full time

Job summary

The Focus Group is seeking a QA Tester to ensure the quality, stability, and security of Digitisation & Automation solutions including RPA, Power Platform, AI Agents, Copilot, APIs, and integrations. You will drive quality engineering, test automation, and continuous testing across the full development lifecycle in a fast-paced environment.

Ideal candidates have 3-5 years in enterprise testing, experience with Power Platform and API testing, and familiarity with Agile practices.

Qualifications

• 3-5 years of experience testing enterprise solutions.
• Experience with automation, Power Platform, APIs and integrations.
• Familiarity with Agile delivery and test automation.
• Exposure to AI-enabled solutions is advantageous.

Responsibilities

• Develop test strategies, test plans, test cases, and test scripts.
• Define test coverage and acceptance criteria for AI, automation, and digital solutions.
• Implement quality engineering throughout the development lifecycle.
• Ensure traceability between requirements, tests, defects, and releases.
• Support Agile teams through continuous testing practices.

Skills

Quality engineering

Test automation

Agile testing

API testing

Power Platform testing

Education

Degree in Information Technology

Tools

Power Platform

RPA tools

UiPath

Job description

Role Purpose

The Quality Assurance (QA) Tester is responsible for ensuring the quality, stability, reliability, security, and performance of solutions delivered across the Digitisation & Automation portfolio. The role covers RPA and Bot solutions, Power Apps, Power Automate workflows, AI Agents and Copilot solutions, Azure AI Foundry solutions, APIs and system integrations, and end-to-end automated business processes. The role implements quality engineering, test automation, and continuous testing approaches to support production-ready solutions that meet business, security, and regulatory requirements.

Key Responsibilities

Test Planning and Quality Engineering

• Develop test strategies, test plans, test cases, and test scripts.
• Define test coverage and acceptance criteria for AI, automation, and digital solutions.
• Implement quality engineering throughout the development lifecycle.
• Ensure traceability between requirements, tests, defects, and releases.
• Support Agile teams through continuous testing practices.

Automation and Digital Solution Testing

RPA and Intelligent Automation

• Test attended and unattended RPA and Bot solutions.
• Validate automated workflows and end-to-end process automation.

Power Platform Solutions

• Test Power Apps, Power Automate flows, Power Pages, custom connectors, and Dataverse integrations.

AI and Copilot Solutions

• Test Microsoft Copilot Studio, AI Agents, Azure AI Foundry, conversational AI, and Generative AI-enabled applications.

API and Integration Testing

• Validate APIs, web services, enterprise integrations, data flows, authentication, and security controls.

AI Quality Assurance Responsibilities

• Validate AI responses for accuracy, relevance, consistency, usability, and correct execution of prompts and instructions.
• Test guardrails, safety controls, response boundaries, escalation mechanisms, and responsible AI controls.
• Identify hallucinations, incorrect outputs, edge cases, and exception scenarios.
• Assess response reliability, repeatability, and compliance with business rules.
• Perform regression testing after prompt, model, configuration, or release changes.
• Confirm solution stability and verify that existing functionality has not degraded.

Test Automation and Continuous Quality Engineering

• Design, develop, and maintain automated test suites and regression packs.
• Implement continuous testing practices and support CI/CD quality gates.
• Drive shift-left testing and automated quality controls across solutions.
• Build reusable test assets, scripts, and frameworks.

Quality Management

• Log, track, and manage defects throughout the development lifecycle.
• Support root-cause analysis and defect resolution.
• Monitor quality metrics and report testing progress.
• Participate in release readiness and go-live assessments.

Security, Performance and Non-Functional Testing

• Perform security and role-based access testing.
• Conduct performance, load, stress, and resilience testing where applicable.
• Validate data privacy, security controls, and business continuity requirements.

Technical Skills

Essential

• Software testing, quality assurance, and test automation frameworks.
• Functional, regression, integration, API, and end-to-end process testing.
• Power Platform, RPA, AI Agent, and Copilot testing concepts.
• Defect management, Agile delivery methodologies, and continuous quality engineering.

Advantageous

• Microsoft Copilot Studio, Azure AI Foundry, Power Platform, Power Automate, UiPath, or Automation Anywhere.
• Azure DevOps, PowerShell, SQL, REST APIs, performance testing, security testing, and CI/CD pipelines.

Experience

• 3-5 years of experience testing enterprise solutions.
• Experience testing automation, workflow, Power Platform, APIs, and integrations.
• Experience working in Agile delivery teams and with test automation frameworks.
• Exposure to AI-enabled solutions, Generative AI agents, chatbots, or Copilot solutions is advantageous.

Qualifications

• Degree or diploma in Information Technology, Computer Science, Software Engineering, Information Systems, or a related technical discipline.

Certifications

Mandatory

• ISTQB Foundation Certification.

Preferred

• Microsoft Power Platform Certification: PL-100 and/or PL-200.
• Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent.
• Test automation-related certification.
• Microsoft Azure Fundamentals (AZ-900).
• Microsoft Azure AI Fundamentals (AI-900).

Competencies

Technical

• Quality engineering, test automation, API testing, AI testing, Power Platform testing, RPA testing, integration testing, defect management, root-cause analysis, security testing, and performance testing.

Behavioural

• Attention to detail, critical thinking, analytical problem solving, collaboration, continuous improvement, accountability, customer focus, and adaptability.

Success Measures

• Defect detection effectiveness and test coverage achieved.
• Automated test coverage and regression testing effectiveness.
• Quality and stability of production releases.
• Reduction in production defects.
• Effectiveness of AI response, guardrail, security control, and regression validation.
• Contribution to quality engineering maturity and stakeholder satisfaction.

Ideal Candidate Summary

A quality assurance professional with expertise in testing intelligent automation, Power Platform, integrations, and AI enabled solutions. The individual combines traditional testing skills with modern quality engineering practices and can validate AI agents, Copilot solutions, bots, workflows, APIs, and enterprise automation platforms to ensure they are secure, reliable, scalable, and fit for purpose.