Hands-On QA Lead for AI, Data & Automation

ikeGPS Group Limited

Otago

On-site

NZD 110,000 - 170,000

Full time

4 days ago
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Job summary

ikeGPS Group Limited in New Zealand is seeking a QA Team Lead to champion quality across a growing product portfolio. This player-coach role blends hands-on test automation, test execution, and setting technical standards while mentoring a small team of QA Specialists.

You will lead testing efforts for legacy and next-generation platforms, advance AI/ML quality, data integrity, and cross-functional collaboration with product and engineering teams across time zones.

Qualifications

  • 3+ years leading or mentoring QA teams or senior/lead QA role.
  • 5+ years of quality assurance experience in software product companies.
  • Deep knowledge of QA methodologies including functional, integration, regression, and acceptance testing.
  • Hands-on experience building automated test frameworks and using test automation tools.
  • Strong understanding of Agile/Scrum processes and cross-functional collaboration.
  • Experience with AI-powered testing tools and data quality validation.

Responsibilities

  • Lead QA Practice Leadership & Mentorship and set quality standards.
  • Define testing strategies and establish scalable quality frameworks.
  • Design and implement scalable test processes and automation roadmaps.
  • Collaborate with Product, Engineering, and Support to improve quality and customer impact.
  • Actively contribute to hands-on testing of complex features and maintain audit trails.

Skills

Team leadership
Mentoring
Hands-on testing
Automation testing
Quality strategy
Cross-functional collaboration

Tools

Selenium
Cypress
Playwright
SmartBear
AI-powered testing tools

Job description

ikeGPS Group Limited in New Zealand is seeking a QA Team Lead to champion quality across a growing product portfolio. This player-coach role blends hands-on test automation, test execution, and setting technical standards while mentoring a small team of QA Specialists.

You will lead testing efforts for legacy and next-generation platforms, advance AI/ML quality, data integrity, and cross-functional collaboration with product and engineering teams across time zones.

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