THA-Bangkok-One Bangkok, Thailand
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Listing record updated: November 1, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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The Principal Quality Engineer - ADL Workbench leads test automation development and delivery for a scalable, cloud-native agentic platform on AWS. The role designs and implements UI, API, performance, functional, integration, and security testing frameworks; embeds quality gates in CI/CD; and drives cloud-native, microservices, domain-driven, and event-driven verification. It also involves observability, technical leadership, mentoring, and collaboration with product, architecture, DevOps, and cybersecurity teams.
Candidates need a bachelor’s or master’s degree in Computer Science, Engineering, or a related field, 8+ years of software engineering experience, and 3+ years in a lead or principal role. Requirements include hands-on AWS and test automation experience, AI-assisted development tools, modern programming languages, CI/CD, DevOps, agile methods, microservices, Docker, and Kubernetes. Excellent problem-solving, communication, and leadership skills are required.
Lead design and implementation of UI, API, and performance test automation frameworks for AWS-based applications.
Deliver critical projects autonomously and take ownership with minimal direction.
Enforce cloud-native, microservices, domain-driven, and event-driven verification practices.
Embed quality gates in CI/CD pipelines for continuous testing and delivery.
Mentor senior and mid-level engineers and collaborate with product, architecture, DevOps, and cybersecurity teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
8+ years of software engineering experience, including 3+ years in a lead or principal engineering role.
Hands-on experience building scalable test automation with AWS cloud services and cloud-native testing strategies.
Experience with AI-assisted tools, modern programming languages, CI/CD, DevOps, and agile methodologies.
Knowledge of microservices architecture and containerization with Docker and Kubernetes.
Familiarity with software engineering or agentic AI.
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