QA Engineer / SDET (Backend Testing / Automation / AI-Assisted Engineering)

My Client:My client is a fast-growing tech company building global digital products and next-generation AI-powered platforms. The engineering team is actively exploring practical AI applications across product development and engineering workflows.They are currently expanding their engineering team in Singapore and looking for a hands-on QA Engineer who enjoys coding, automation, backend systems, and emerging AI technologies.Job Responsibilities:Test backend services and APIs, covering functional correctness, performance, stability, and integration scenarios.Design, develop, and maintain automated API and integration tests, integrating them into CI/CD pipelines.Work closely with backend engineers to understand system architecture, new features, edge cases, and potential production risks.Use AI tools in daily engineering workflows to generate and improve test cases, create test data, review code, analyze logs, and troubleshoot failures.Build and maintain test environments, mocks, test data, and supporting automation tools.Investigate production and testing issues together with engineers, identify root causes, and support reliable product releases.Continuously improve testing frameworks, automation coverage, and overall quality engineering practices.Job Requirements:Bachelor's degree in Computer Science, Software Engineering, or a related field.3~5 years of experience in QA Engineering, SDET, backend testing, test automation, or related software engineering roles.Good programming skills in at least one language; TypeScript or Python experience is preferred.Hands-on experience with API testing and automation frameworks such as Jest, Playwright, Pytest, or similar tools.Comfortable working with SQL, Redis, ELK, caching systems, CI/CD pipelines, and common backend infrastructure.Familiar with modern software development and testing practices, with the ability to understand backend services and troubleshoot technical issues independently.Comfortable using AI coding tools as part of daily development or testing workflows, including providing effective context, reviewing AI-generated code, and validating outputs.Strong problem-solving skills, engineering mindset, and attention to product quality.Nice to Have:Experience testing AI-powered products, AI Agents, LLM applications, or AI-generated content.Interest in games and strong sensitivity to user/player experience.Experience from internet companies, gaming companies, fintech platforms, or fast-growing technology teams.What They Offer:Hands-on exposure to AI-assisted engineering and practical AI applications in real production workflows.Competitive compensation and long-term career development opportunities.