Automation QA Engineer

ARCHER LOGIC (S) PTE LTD; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A technology company in Singapore is seeking a QA Engineer to join the Channel Sales and Operations team. In this role, you will ensure the reliability and quality of AI/ML-powered platforms by designing and executing manual and automated test cases. Ideal candidates have over 3 years of experience in QA Automation Engineering, particularly with Playwright, Python, and cloud technologies. This position offers the opportunity to work closely with engineers on end-to-end system testing and validation.

Qualifications

• 3+ years of QA Automation Engineering experience.
• Experience with Playwright for automated application testing.
• Ability to design tests validating output accuracy and system behavior.

Responsibilities

• Design and execute manual and automated test cases for GenAI platforms.
• Build and maintain Python-based test automation frameworks.
• Conduct end-to-end testing from data ingestion to user-facing output.

Skills

QA Automation Engineering experience

Playwright for automated application testing

Python API testing

Bash scripting

GCP cloud platforms

Kubernetes

Monitoring and observability tools

LLM testing frameworks

Job description

The QA Engineer will join the Channel Sales and Operations team to help ensure the reliability and quality of our AI/ML-powered B2B chatbot and the foundational platforms supporting it. This role goes beyond testing outputs you'll be working closely with engineers to ensure the end-to-end system, including cloud infrastructure and data pipelines, functions as intended.

Roles and Responsibilities

• Design and execute manual and automated test cases for GenAI platforms and chatbot systems.
• Build and maintain Python-based test automation frameworks for backend services and ML pipeline validation.
• Utilize RAGAS or similar tools to assess LLM outputs for factuality, relevance, and system performance.
• Conduct end-to-end testing from data ingestion to user-facing output.
• Validate system stability across GCP cloud components compute, storage, networking, and containers.
• Identify failures not only in chatbot answers, but also in underlying infrastructure and platform behavior.
• Collaborate with DevOps and ML engineers to triage bugs and optimize performance.
• Ensure test coverage spans across multiple deployment environments including Kubernetes clusters and cloud VMs.

Requirements

• 3+ years of QA Automation Engineering experience
• Experience with Playwright for automated application testing, including sign-in and SSO authentication flows
• Ability to design tests that validate output accuracy and system behavior across different user flows
• Experience with Python API testing using requests, Pytest, and integration into CI/CD and cloud environments
• Proficiency in writing and debugging Bash scripts used in CI/CD and cloud deployment workflows
• Experience with Cloud platforms (GCP preferred), including Kubernetes (kubectl experience is a plus), virtual machines, databases, cloud networking and storage components
• Understanding of modern cloud architecture and how distributed components interconnect in production environments
• Experience with LLM testing frameworks like RAGAS, and ability to interpret metrics such as factuality, relevance, and performance
• Experience with monitoring and observability tools
• Familiarity with the end-to-end architecture of GenAI solutions, including vector stores, retrievers, embedding models, and inference systems

No Recruitment Agency needed.