Software Quality Assurance Engineer (Mid-Senior level)
Indexed description
Our Aspiration
We are data and AI pioneers, dedicated to enhancing the economic and social lives of our customers via technology. We are not just living in history, we are making history everyday. In becoming one of the world’s leading Data and AI companies, we always double-down on remaining a place where a diverse mix of talent wants to come, do their best work, and stay. We pride ourselves on bringing the best talent worldwide into a culture that encourages learning, growth opportunities, innovative contributions, and a sense of ownership. As part of Andersen Consulting, we are committed to delivering best-in-class Data and AI solutions—aligned with a global platform known for innovation, integration, and impact—while continuing to set benchmarks in the region and beyond.
For more information, please visit: sertiscorp.com
Overview Of The Job
Be a hands-on driver of product quality and a trusted voice in how we test, release, and improve. You'll own testing across projects, collaborate closely with strong engineers and designers, and contribute meaningfully to release decisions. As you grow, you can deepen into AI/Data QA or move toward broader ownership and leadership. If you want to sharpen your craft while raising the quality bar, this is your role.
- Thai nationals apply only*
- Contribute to strategy: Work alongside senior QA and the Lead QA to shape testing and release approaches across projects, helping ensure consistent quality from ideation to production
- Own quality on your projects: Design and execute test strategies, run both manual and automated testing, and act as a quality gatekeeper. You'll contribute to release-readiness decisions that shape our product's success.
- Build test automation: Develop and maintain modern automation frameworks with Pytest, Playwright, and Locust, integrated into our CI/CD pipelines.
- Explore AI-powered QA: Experiment with AI-assisted tools (e.g., test case generation, intelligent regression detection) to work smarter and stay current.
- Strengthen resilience: Apply performance, security, and chaos testing practices to help our systems hold up under pressure.
- Support the team: Share knowledge with peers and help onboard junior QAs, contributing to a strong QA culture.
- Collaborate cross-functionally: Work side by side with developers, machine learning engineers, UX/UI teams, and AI stakeholders to catch issues early and ensure smooth releases.
- Improve continuously: Suggest better tools, frameworks, and practices to boost speed, reliability, and quality.
- Solid experience (3+ years) across manual and automation testing, with growing confidence to own quality on your projects.
- A good understanding of end-to-end testing, from functional and regression to performance and API validation.
- The ability to build and extend automation frameworks, and a willingness to learn how to choose the right tools for the job.
- Comfort working with system architecture, APIs, and distributed applications, not just test scripts.
- A quality-first mindset, with sound judgment on testing and release-readiness that you'll keep sharpening.
- Willingness to support and share knowledge with junior teammates as you develop your own leadership skills.
- Strong communication and critical thinking, plus the curiosity to always look for better, smarter ways of working.
- Strong in English (Speaking and Writing) and Native in Thai
- Experience with cloud-native testing (Docker/Kubernetes, CI/CD pipelines).
- Comfort building advanced automation practices (contract/property-based testing).
- Observability and monitoring mindset (Datadog, Grafana, Prometheus).
- Leadership potential: ability to influence QA culture and drive continuous improvement.
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