Senior Quality Assurance Engineer [12 month Contract]

Sertis (Thailand)

Bangkok, Thailand

We are a leading Big Data and AI-powered solution company working with some of the largest companies in the world and partnering with Microsoft and Google to create insights and build custom AI solutions to help drive business growth. Our team of data scientists, data engineers and AI researchers work closely with clients to provide cutting edge solutions custom tailored for their business.

About this position

Sertis is a leading Data and AI company based in Bangkok, providing customized solutions across various industries. The Senior Quality Assurance Engineer will play a crucial role in ensuring software quality through testing and collaboration with different teams.

Responsibilities

In this role, you will get to:
• Devise and execute Software Tests, both manual and automated, to ensure business and software requirements are met (e.g. Functional UI/API testing, Acceptance testing, Regression testing, Black Box Testing, Performance testing)
• Collaborate closely with your team and other functions, ranging from Software Developers to Data Scientists to Project Managers
• Research new tools, frameworks, and processes to improve both the efficiency and quality of our internal testing
• Providing technical coaching and mentorship to other QA engineers, assisting them in their daily responsibilities and aiding in their technical development.

Requirements

You'll be successful if you have:
• A minimum of 5 years of experience as a QA Engineer or in a related position.
• A strong grasp of web-based applications, software development, and the Software Development Life Cycle (SDLC).
• Proficiency in both manual and automated testing, including test case creation, design, development, and execution.
• Familiarity with tools like Robot Framework, REST APIs, CI/CD pipelines, and expertise in a modern programming language.
• A genuine passion for software testing and a commitment to continuously improving testing methodologies.
It's a plus if you have:
• Exposure to Big Data and AI technologies.
• Prior software development experience, using languages like Python or JavaScript.
• Hands-on experience in an Agile development environment.
• Familiarity with Cloud Platforms like AWS, GCP, or Azure.