Senior Quality Assurance Engineer/QA Lead(A180153)

AI Rudder is a software company that harnesses the power of AI voice automation to supercharge customer experiences. With AI voice assistants, your call center can make quality human-like calls at lightning speeds, collecting and analyzing data automatically to reach and activate more customers. AI Rudder helps call centers reduce costs by automating repetitive tasks and lowering agent workload. This frees up agents to focus on things only humans can do. Over the long term, AI Rudder aims to rethink the future of business communication.

The KL R&D Center is our core overseas engineering hub, responsible for building and iterating our product and technology stack locally. We are looking for a Senior Quality Assurance Engineer / QA Lead to own the quality assurance strategy across our AI SaaS platforms and intelligent conversational robot products. This role combines hands‑on full‑stack testing with team leadership and process ownership. You will define testing standards, build automation infrastructure, drive quality gates into the delivery pipeline, and mentor a growing QA team — while remaining deeply involved in day‑to‑day testing work.

Responsibilities

Technical Leadership

• Own the end‑to‑end QA strategy for frontend, backend, and API layers; design test plans, test cases, and coverage standards for complex SaaS and AI platform products.
• Build and maintain automation test frameworks from the ground up; drive continuous improvement in regression coverage and test execution efficiency.
• Lead performance and stability testing efforts; identify system bottlenecks, analyze results, and collaborate with engineering teams on root cause resolution.
• Integrate automated tests into CI/CD pipelines to enforce quality gates before every release.
• Participate in requirement reviews and technical design sessions; provide early testability and risk feedback to development and product teams.
• Establish defect management workflows, quality metrics, and reporting standards; take ownership of production quality and proactively reduce online incidents.

Team Management

• Lead and coordinate the testing team's daily operations: task assignment, progress tracking, quality reviews, and hiring.
• Mentor junior and mid‑level testers, fostering a culture of quality ownership and continuous skill development.
• Serve as the QA communication bridge between KL R&D center and headquarters (Shanghai), ensuring alignment on quality standards, release readiness, and issue escalation.

Qualifications

Required

• Bachelor's degree or higher in Computer Science or a related field.
• 7+ years of software testing experience in the internet industry, covering both frontend and backend testing.
• Solid hands‑on experience in functional testing, API testing, and non‑functional testing (performance, stability); able to independently design and execute test strategies for complex systems.
• Strong proficiency in automation testing — able to design, build, and maintain automation frameworks; experience with at least one mainstream framework (e.g., Selenium, Playwright, pytest, or equivalent).
• Familiar with CI/CD pipelines and able to integrate test automation into the delivery workflow.
• 1+ years of QA team lead or mentoring experience; comfortable with task allocation, process ownership, and cross‑functional coordination.
• Proficiency in English — able to participate in technical discussions, write documentation, and communicate with both local and overseas teams. Added advantage if able to converse in Chinese as collaboration is expected with China‑based teams.
• Strong logical thinking, structured problem‑solving ability, and a high sense of ownership and responsibility for quality outcomes.

Preferred

• Experience testing AI‑powered products, intelligent conversational platforms, or voice bot systems.
• Experience with performance testing tools and methodologies (e.g., JMeter, Locust, or equivalent); ability to analyze bottlenecks and provide optimization recommendations.
• Familiarity with LLM / AI model testing approaches, such as prompt output validation, regression testing for model updates, or evaluation frameworks.
• Experience working in cross‑cultural, distributed teams (especially China + Southeast Asia collaboration).
• Familiarity with cloud platforms (AWS / GCP / Alibaba Cloud) and containerized environments (Docker, Kubernetes) for test infrastructure setup.

What We Offer

• Core role in building a high‑impact R&D center from the ground up in Southeast Asia.
• Direct involvement in cutting‑edge AI + LLM product quality, shaping the reliability of user‑facing systems.
• Competitive compensation package with growth potential as the team scales.
• Collaborative environment bridging China and Southeast Asia engineering cultures.