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Location
In office (Johannesburg)
Seniority
Middle · 3+ years exp
Employment
Contractor

First seen by Alion on Nov 5, 2026.

Overview
Company
Impact
Profile match

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
  • Automation and Digital Solution Testing
  • RPA and Intelligent Automation
  • Power Platform Solutions
  • AI and Copilot Solutions
  • API and Integration Testing
  • AI Quality Assurance Responsibilities
  • Test Automation and Continuous Quality Engineering
  • Quality Management

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).
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