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.
- 35 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.
