QA Analyst – AI‑Enhanced Manual Testing for Parking Ops

BookFlowGo

Vale of White Horse

On-site

GBP 35,000 - 43,000

Full time

4 days ago
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Benefits offered by this job

Income protection
Critical illness cover
Life assurance
25 days holiday + birthday off
Gym discounts
Private dental insurance
Private medical insurance
Profit share bonus
Pension with Aviva
Enhanced parental leave
Personal development plan
AI-enabled engineering culture

Job summary

ParkIT in Birmingham is seeking a QA Analyst to perform manual testing and validation of our parking software. You’ll collaborate with Product and Engineering to ensure software meets requirements and acceptance criteria, while leveraging approved AI tools to expand test ideas and troubleshoot effectively.

You’ll join a team that values clear communication, accountability for test results, and continuous learning, with a strong emphasis on quality and real‑world impact for airport operations.

Qualifications

  • Hands-on experience in manual software testing or QA.
  • Solid understanding of software testing concepts and processes.
  • Experience applying verification/validation to complex software or systems.

Responsibilities

  • Conduct manual testing to validate software against requirements.
  • Confirm applications meet acceptance criteria and expected user outcomes.
  • Turn requirements into clear test conditions and cases with Product/Engineering.
  • Use AI tools where valuable to expand test scenarios and improve docs.
  • Review AI-assisted outputs for edge cases and accuracy before relying on them.
  • Execute functional, regression and exploratory tests across environments and browsers.

Skills

Manual testing
Test case execution
Jira
AI tooling awareness
Cross-browser testing

Tools

Playwright
JavaScript
TypeScript
Jira

Job description

ParkIT in Birmingham is seeking a QA Analyst to perform manual testing and validation of our parking software. You’ll collaborate with Product and Engineering to ensure software meets requirements and acceptance criteria, while leveraging approved AI tools to expand test ideas and troubleshoot effectively.

You’ll join a team that values clear communication, accountability for test results, and continuous learning, with a strong emphasis on quality and real‑world impact for airport operations.

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