QA Engineer – Power Platform & AI

For one of our clients, we are looking for 2 QA Engineers for a 6-month project
, to ensure the quality of AI-enabled IT Service Management (ITSM) solutions built on Microsoft Power Platform and Copilot Studio
. You will work closely with Product Owners and developers, covering test planning, manual and automated testing and release sign-off readiness.

• Review user stories and acceptance criteria with Product Owners, identifying gaps and testability risks early.

• Design and run test plans, test cases and regression suites for Power Apps, Power Automate flows and Dataverse components.

• Test Copilot Studio agents
  : conversation flows, intent handling, accuracy of answers, fallback behaviour and responsible AI safeguards.

• Validate end-to-end ITSM scenarios (incidents, requests, changes, knowledge), including integrations and notifications.

• Build and maintain automated tests (regression, API and UI) as the solution matures.

• Log, triage and track defects in Jira
  , verify fixes and report quality metrics.

• Support UAT by preparing test data, guiding business testers and consolidating feedback.

• Contribute to release readiness with test summary reports, go/no-go input and post-release validation.

• 3–6 years of QA experience
  , including at least 1–2 years on Power Platform solutions (Power Apps, Power Automate, Dataverse).

• Familiarity with Copilot Studio and testing conversational or GenAI solutions.

• Solid understanding of ITSM processes and platforms (Service Now, Jira Service Management or similar).

• Test automation experience with tools such as Power Apps Test Engine, Playwright, Selenium or Postman (API testing).

• Experience with Agile / Scrum and Jira-based defect and test management.

• Strong analytical skills and clear written and verbal communication in English.

• ITIL v4 Foundation or higher; ISTQB;
  Microsoft certifications (PL-900, PL-200, AI-900).

• CI/CD pipelines (Azure Dev Ops or Git Hub Actions) and Power Platform ALM.

• Knowledge of LLM evaluation approaches (test datasets, response quality scoring, hallucination checks).

• Basic scripting skills (Python, JavaScript or Power Shell).