Job Description

Technical Team Lead, Quality Assurance

Department: Development

Employment Type: Full Time

Location: Manila

A Typical Day in the Life Includes:

• Align daily QA priorities by reviewing sprint goals, testing assignments, open defects, blockers, release risks, and delivery commitments.
• Provide technical guidance in test planning, test design, regression coverage, risk-based testing, and release readiness activities.
• Review and validate QA deliverables, including test scripts, performance scenarios, defect reports, test results, and QA documentation.
• Perform hands-on testing during the first year, including creating and executing test cases or test scripts as needed to build product familiarity and support project delivery.

• Lead automation and performance testing initiatives in alignment with the functional roadmap.
• Identify automation opportunities, improve test coverage, review script quality, and support scalable testing practices.
• Monitor automation results and performance testing outcomes to help identify risks, bottlenecks, and areas for improvement.

• Embed AI-enabled QA and AI-DLC practices into QA workflows to improve productivity, test coverage, and quality insights.
• Leverage AI and GenAI tools to support requirements analysis, test script creation, documentation, defect analysis, automation efficiency, and reporting.
• Review and validate AI-generated outputs to ensure accuracy, quality, and alignment with functional and technical requirements.

• Supervise, coach, and mentor QA team members by supporting technical growth, performance feedback, knowledge sharing, and skill development.
• Collaborate with Development team and stakeholders to address quality risks and delivery concerns.
• Communicate QA status, risks, issues, objectives, initiatives, blockers, and progress against plans to ensure clear stakeholder visibility.

• Implement ongoing quality improvement processes by identifying process gaps, applying lessons learned, and promoting consistent QA best practices.
• Ensure QA tools used for test management, automation, performance testing, defect tracking, documentation, reporting, and collaboration remain effective and reliable.
• Demonstrate learning agility by exploring new tools, technologies, AI capabilities, testing practices, and solutions that improve QA outcomes.
• Participate in leadership, transformation, and engagement activities that support employee development, team capability, and continuous improvement.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 8+ years of experience in software development, product testing, or quality assurance, including at least 3 years in a QA leadership or managerial role.
• Experience leading QA teams across manual, automation, and performance testing within Agile/Scrum development environments.
• Willing to work on a dayshift schedule and comply with RTO requirements of 3 days per week.

• Proven ability to lead QA teams, mentor team members, foster teamwork, and motivate others effectively.
• Strong communication, stakeholder collaboration, problem-solving, interpersonal, and project management skills.
• Ability to drive QA strategy, quality initiatives, process improvements, and organizational change.
• Strong commitment to software quality, customer satisfaction, product reliability, and continuous improvement.
• Demonstrates leadership that inspires confidence, accountability, collaboration, and a culture of quality excellence.

• Hands-on experience creating, maintaining, and executing automation test scripts.
• Hands-on experience creating or executing performance test scripts.
• Ability to analyze automation and performance test results and support release quality decision.
• Experience with API testing.
• Experience supporting automation and performance testing within CI/CD pipelines.
• Understanding of automation frameworks and design patterns, including Page Object Model.
• Exposure to cloud and container technologies.
• Ability to apply automation, performance, API, and CI/CD practices to support software quality and delivery.

• Experience using GenAI tools such as Copilot, AWS Kiro, or similar to support QA activities.
• Ability to apply prompt engineering to generate test cases, scripts, documentation, and analysis outputs.
• Ability to review, validate, and refine AI-generated outputs to ensure accuracy, quality, and alignment with requirements.

Preferred Qualifications:

• Experience in e-commerce software testing.
• Knowledge of web-based, cloud, or multi-tenant application architectures.
• Experience developing or supporting AI tools and/or AI-enabled products.
• Experience applying GenAI tools to QA activities such as test generation, documentation, defect analysis, and automation support.

• Knowledge of JIRA or similar defect tracking tools.
• Familiarity with source control and CI/CD tools such as GitHub and Jenkins.

• Automation Tools: Playwright, Selenium WebDriver, Robot Framework, or similar.
• Performance Tools: JMeter, LoadRunner, or equivalent.
• API Testing: Postman or similar API testing tools.
• Languages: JavaScript, Python, or similar scripting languages.
• Frameworks: Page Object Model and advanced automation frameworks.
• Cloud & Containers: AWS, Azure, Docker, Kubernetes, or similar.

• Prompt Engineering: Ability to use tools such as Copilot or AWS Kiro to generate test cases, scripts, and documentation.
• AI-Assisted Test Generation: Experience using GenAI to create regression tests, edge cases, and exploratory scenarios.
• Code & Script Generation: Ability to leverage AI to support automation script creation and improvement.