Senior QA Engineer - AI/ML
New
F
Finite StateCybersecurity SaaS
Location: Singapore (ONLY)Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonCypressJavascriptQATypeScriptAPI testingSeleniumSaaSPlaywright
Requirements
- Hands-on experience in QA, quality engineering, test automation, or software testing for SaaS, web applications, or complex software products.
- Strong problem-solving ability.
- Experience testing modern web applications, APIs, backend services, databases, and distributed systems.
- Solid understanding of test planning, defect management, regression testing, exploratory testing, and release validation.
- Experience with automation tools such as Playwright, Cypress, Selenium, Pytest, Postman, or similar.
- Ability to write scripts, automated tests, or test utilities in Python, JavaScript, TypeScript, or similar languages.
- Familiarity with REST APIs, browser developer tools, logs, database queries, Git, Docker, and CI/CD workflows.
- Strong attention to detail and ability to spot edge cases and customer-impacting risks.
- Clear communication skills and the ability to document issues in a structured, actionable way.
- Ownership mindset.
Responsibilities
- Own QA for AI-powered SaaS features from requirements review through release validation.
- Design and execute test plans for workflows involving vulnerability detection, threat modeling, compliance analysis, dashboards, and AI-assisted recommendations.
- Perform functional, regression, exploratory, API, integration, and end-to-end testing.
- Investigate issues across frontend, backend, APIs, databases, logs, permissions, and AI-driven workflows.
- Validate AI-generated outputs for accuracy, consistency, explainability, usefulness, and risk.
- Identify edge cases, failure modes, data issues, access-control gaps, and customer-impacting defects.
- Build and maintain automated tests for critical user journeys, APIs, and backend workflows.
- Improve test coverage, CI/CD quality gates, regression suites, and release readiness.
- Work closely with engineers, product managers, security researchers, and data engineers.
- Document defects clearly with reproduction steps and technical context.
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