Testing Specialist

Gravitas-Recruitment-Group

Hong Kong

Sur place

HKD 550 000 - 900 000

Plein temps

14 jours+

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Résumé du poste

eFinancialCareers Ltd. in Hong Kong seeks a seasoned QA Lead to ensure solutions meet business requirements, quality standards, and release criteria.

You will shape test strategies, plans, and execution across SIT, UAT, and production validation, coordinating with PMs, BAs, developers, and stakeholders to resolve defects and mitigate testing risks. You will promote best practices across SDLC, QA governance, and DevOps, drive continuous improvement, and support test automation initiatives within

Qualifications

  • Bachelor's degree in Computer Science, Information Technology or a related discipline.
  • 6+ years of experience in Software Testing, QA or Quality Engineering.
  • Strong understanding of SDLC, QA governance and testing practices.
  • Experience delivering enterprise-scale projects in Agile, Scrum, Waterfall and DevOps.
  • Hands-on experience with test management and defect tracking tools such as Jira and Confluence.

Responsabilités

  • Act as the quality lead across multiple technology and digital initiatives, ensuring solutions meet requirements, standards, and release criteria.
  • Review requirements, user stories, specs, and docs to identify test scenarios, risks, and coverage gaps.
  • Develop and maintain test strategies, plans, cases, and execution schedules aligned with project objectives.
  • Coordinate end-to-end testing activities including SIT, UAT, regression, and production validation.
  • Monitor, track, and report testing progress, quality metrics, defects, and release readiness to stakeholders.

Connaissances

Quality Assurance
Test Management
Agile / DevOps
Stakeholder Management
Test Automation

Formation

BSc in CS/IT

Outils

Jira
Confluence

Description du poste

Key ResponsibilitiesAct as the quality lead across multiple technology and digital initiatives, ensuring solutions meet business requirements, quality standards, and release criteria.Review business requirements, user stories, functional specifications, and technical documentation to identify test scenarios, risks, and coverage gaps.Develop and maintain comprehensive test strategies, test plans, test cases, and test execution schedules aligned with project objectives.Coordinate and execute end-to-end testing activities, including SIT, UAT, regression, and production validation, ensuring successful project delivery.Partner closely with Project Managers, Business Analysts, Developers, Product Owners, and business stakeholders to resolve defects, manage testing risks, and drive issue resolution.Monitor, track, and report testing progress, quality metrics, defects, and release readiness to project stakeholders and management.Provide QA advisory and governance support to internal and external testing teams, promoting best practices across the software development lifecycle.Drive continuous improvement in testing processes, standards, methodologies, and quality controls across Agile, Waterfall, and DevOps environments.Support test automation initiatives and advocate for quality engineering practices to enhance efficiency, test coverage, and delivery quality.Contribute to the evolution of Testing Centre of Excellence (TCoE) standards, quality frameworks, and enterprise testing practices.What We're Looking ForBachelor's degree in Computer Science, Information Technology, or a related discipline.6+ years of experience in Software Testing, Quality Assurance, Test Management, or Quality Engineering.Strong understanding of SDLC, QA governance, testing methodologies, and quality assurance best practices.Experience delivering enterprise-scale projects in Agile, Scrum, Waterfall, and DevOps environments.Hands-on experience with test management and defect tracking tools such as Jira and Confluence.Strong knowledge of functional, integration, regression, UAT, and release testing practices.Exposure to test automation frameworks and quality engineering practices is highly preferred.Knowledge of Python and experience supporting AI-related initiatives would be advantageous.Excellent communication and stakeholder management skills, with the ability to work effectively across technical and business teams.
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