Microsoft Principal Software Engineer 

Taiwan, Taoyuan City 

33968110

The

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience building cloud based solutions
• Experience managing and leading other software engineers
• Experience investigating customer requirements and translating those into solution architecture
• Business level of Japanese and English language skills

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience
• Experience building solutions with Generative AI technologies
• Solid design and coding skills with a bias for architecture at scale
• Demonstrated ability to work with customers and collaborate across company boundaries
• Knowledge of Microsoft Azure, AWS, or similar cloud computing platforms
• Experience building Generative AI solutions
• Strong service delivery experience including architecture, coding, and building online services
• Experience leading geographically dispersed, diverse, and virtual teams

Understand User Requirements

• Collaborates with stakeholders on user requirements and feedback for features. Applies various feedback channels to improve designs or solutions. Measures customer value, usage patterns, and other metrics of value.

Design

• Leads and coaches others in designing, testing, and securing solutions for products/solutions.
• Working hands-on with your team and our customers from design through implementation of large-scale distributed systems, setting examples for good engineering practices and coding along the way.

Coding

• Leads and coaches team members in code quality, debugging, and performance improvement.

Implement

• Coaches team on project management, experimentation, and deployment across products.

Reliability and Supportability

• Coaches others on live service operations, issue resolution, and telemetry data analysis for system performance and functionality.

Engineering Excellence

• Continuously building your technical knowledge and improving our ability to deliver quality solutions by evolving our engineering process and technical capabilities.
• Coaches others on developing and using tools, automation, and compliance for a product.