QA Lead (Automation, Manual, AI)

We’re looking for a Lead/Principal QA Engineer who cares deeply about product quality and enjoys improving testing through automation and AI. You’ll work closely with engineers, product managers, and DevOps to ensure reliable releases and help evolve our quality practices as our systems grow.

What you’ll do

• Take ownership of product quality from development through production.
• Design test strategies and quality checks for new features and releases.
• Build and execute functional, API, integration, and end-to-end tests.
• Review test coverage across unit, backend, API, and UI layers.
• Develop and maintain comprehensive test scenarios aligned with business requirements to ensure high product value.
• Use AI tools (LLMs, coding assistants, AI testing tools) to improve test design, automation, and debugging.
• Lead quality assurance for AI-powered features and autonomous agents, ensuring the reliability of complex data pipelines and agentic workflows.
• Contribute to automation frameworks and CI/CD testing practices.
• Monitor system quality in production using logs, metrics, and observability tools.
• Work with engineering teams to identify risks early and improve overall quality practices.
• Mentor team members and promote a strong quality culture.
• Collaborate across cross-functional, global development hubs (Japan, Vietnam, India) and partner directly with engineers and product managers to embed quality-first development processes.

What we’re looking for

• 8+ years of experience in software testing with strong hands-on experience in manual and automation testing.
• Expertise in leading the entire STLC cycle, with a proven ability to manage and plan test quality across all levels—including unit, API, and E2E tests—while providing strategic guidance to development and QA teams.
• Strong experience with API and end-to-end automation using libraries like Playwright.
• Experience using AI tools to support testing activities.
• Familiarity with monitoring and observability practices for validating production quality.
• Experience working in Agile development environments.
• Strong communication skills and the ability to collaborate across teams.

Nice to have

• Hands-on with AI testing: Model evaluation, hallucination detection, prompt engineering, data pipelines, and agent orchestration.
• Familiarity with cloud platforms such as Amazon Web Services or Microsoft Azure.
• Experience with CI/CD pipelines and DevOps workflows.
• Knowledge of HR or back-office systems.