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As a Software Engineer in AI Quality, you will ensure the quality of AI features by developing test plans, executing tests, and documenting findings while collaborating with teams on quality strategies.
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YOUR MISSION
- General: Software packaging & installation, Software Configuration, Windows update management, Antivirus maintenance (installation/ update/ policies), Access Management
- On Server level: Backup Management / disaster recovery, Scheduled updates, Image update
- On POS/BO level: Image update, Local application installation (country specific hardware/software, fiscal, Generic L1-L3 support for troubleshooting
- Able to perform basic checks in devices (when joined and last connected to Intune/SCCM, see enrollment status, push configuration to device)
- TeamViewer Tensor: L1-L3 troubleshooting
- Perform regression tests and be able to create comprehensive and well-defined test scenarios.
YOUR TALENT
- Rotating shift work schedule
- 4+ years experience in Software Quality Assurance. Degree in computer science or relevant field a plus
- Knowledge in Intune and SCCM
- Understanding of Windows 10, Active Directory, Networking, DNS, DHCP
- Strong knowledge of software QA methodologies, tools and processes
- Extensive experience in writing clear, concise and detailed test cases
- Able to work effectively with continuous change requirements and short deadlines under minimum supervision
SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy. Simply click APPLY ONLINE and follow the steps to upload your application.
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.



