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Finite State partners with product security teams, the guardians of our connected world, to create transparency for their connected devices and supply chains. Our platform handles connected devices and embedded systems across all industries, including those found in enterprises, healthcare, utilities, connected vehicles, manufacturing facilities, critical infrastructure, and government entities.  We are a fast-growing series-B company with a fully distributed workforce. Led by a team of seasoned experts, we are a mission-driven team passionate about arming our customers with the actionable insights, critical vulnerability data, and remediation guidance necessary to mitigate product risk and protect the connected attack surface. We are committed to a remote first culture. Job Title: QA Engineer / Senior QA Engineer – AI/ML Level: Mid to Senior Level Location: Singapore (ONLY) Department: Advanced Development (AD) Reports To: Engineering Manager / QA Lead / Tech Lead Employment Type: Full-time, Permanent Finite State partners with product security teams, the guardians of our connected world, to create transparency for their connected devices and supply chains. Our platform handles connected devices and embedded systems across all industries, including those found in enterprises, healthcare, utilities, connected vehicles, manufacturing facilities, critical infrastructure, and government entities.  We are a fast-growing series-B company with a fully distributed workforce. Led by a team of seasoned experts, we are a mission-driven team passionate about arming our customers with the actionable insights, critical vulnerability data, and remediation guidance necessary to mitigate product risk and protect the connected attack surface. We are committed to a remote first culture. The Role We are looking for a QA Engineer / Senior QA Engineer to join our Advanced Development team in Singapore. This role focuses on ensuring the quality, reliability, security, and usability of the AI-powered SaaS product we are developing for product security teams. This is not a checklist-only QA role. We need someone who can understand complex systems, investigate issues deeply, identify root causes, and help the team ship high-quality software faster. You will work across frontend, backend, APIs, databases, AI workflows, and security data to validate product behavior and improve release confidence. The ideal candidate is practical, technically strong, detail-oriented, and comfortable solving ambiguous problems in a fast-moving SaaS environment. What You’ll Do 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 to clarify requirements and acceptance criteria. Document defects clearly with reproduction steps, expected behavior, actual behavior, screenshots, logs, and technical context. Help raise the quality bar through better testing practices, automation, documentation, and team collaboration. What We’re Looking for Hands-on experience in QA, quality engineering, test automation, or software testing for SaaS, web applications, or complex sof