QA Lead

nahc.io; Hong Kong; On-site; HKD 700,000 - 900,000; Full time

Job summary

nahc.io is seeking an experienced QA Lead (Automation & Manual) to define and direct the software quality strategy across fast-moving SaaS product releases. The role partners with engineering leaders to set testing standards and ensure product excellence through scalable testing ecosystems.

The successful candidate will bridge technical quality execution with business outcomes, leading both automation and manual testing initiatives in a hands-on leadership capacity.

Qualifications

• 8+ years of total experience in software quality engineering and test automation, including leadership.
• Proven track record of scaling test automation platforms and CI/CD integrations across multi-service SaaS products.
• Experience designing tiered regression strategies that maintain fast deployment velocity without compromising coverage.

Responsibilities

• Design, build, and maintain enterprise-grade E2E test frameworks, CI integration pipelines, and test-data management systems for engineering teams.
• Drive multi-tiered, continuous automated regression testing strategies alongside structured pre-release and exploratory testing programs.
• Define and enforce release quality policies, risk-based deployment gates, and automated test suite criteria to safeguard production releases.
• Establish clear testing guidelines and platform standards, enabling application engineers to write and execute robust feature tests.
• Coordinate cross-functional bug triage, defect lifecycle management, and post-release quality reviews to drive continuous process improvements.
• Translate complex software quality metrics into actionable business health signals and operational reporting for executive leadership.

Skills

QA Leadership

Test Automation

CI/CD

Stakeholder comms

Agile

Strategy

Job description

Overview Our client is a high-growth regional SaaS platform, seeking an experienced QA Lead (Automation & Manual) to direct its software quality strategy and testing ecosystem. In this role, you will partner closely with engineering leaders to establish testing standards and maintain high product excellence across fast-moving feature release cycles. This position is ideal for a hands-on QA leader who excels at bridging technical quality execution with business-critical outcomes.

What You Will Do

• Design, build, and maintain enterprise-grade E2E test frameworks, CI integration pipelines, and test-data management systems for engineering teams.
• Drive multi-tiered, continuous automated regression testing strategies alongside structured pre-release and exploratory testing programs.
• Define and enforce release quality policies, risk-based deployment gates, and automated test suite criteria to safeguard production releases.
• Establish clear testing guidelines and platform standards, enabling application engineers to write and execute robust feature tests.
• Coordinate cross-functional bug triage, defect lifecycle management, and post-release quality reviews to drive continuous process improvements.
• Translate complex software quality metrics into actionable business health signals and operational reporting for executive leadership.

What You Will Need

• 8+ years of total experience in software quality engineering and test automation, including experience a team leadership or strategic management capacity.
• Proven track record of scaling test automation platforms, CI/CD integrations, and flaky-test management policies across multi-service SaaS products.
• Demonstrated experience designing tiered regression strategies that maintain fast deployment velocity without compromising quality coverage.
• Strong ability to communicate technical software issues in terms of business impact and user experience to non-technical stakeholders.
• Experience operating in agile, fast-paced shipping environments with rapid feature turnarounds and evolving specifications.
• Deep conviction in quality governance and the authority to confidently evaluate and gate releases when quality standards are not met.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.