Microsoft Principal Software Engineer 

Taiwan, Taoyuan City 

925468661

Required/Minimum Qualification:

• Bachelor's Degree in Computer Science or related technical field 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.
• 6+ years of industry-experience building/delivering high-quality software.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 5+ years of experience in cloud services or AI systems.
• 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 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 equivalent experience.
• Experience building and shipping AI features for world-class production systems.
• Knowledge of machine learning tools and libraries like PyTorch or TensorFlow or similar
• Hands on experience in programming languages such C, Java, C++, or equivalent programming languages.
• Excellent communication skills and ability to collaborate within a multi-disciplinary team.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Single reqs: Microsoft will accept applications for the role until September 3rd, 2025.

• Design, implement and deploy highly scalable real time data processing cloud services utilizing Azure services.
• Leverage state of the art AI technologies like Transformers Neural Networks, Embeddings, Vector stores, LLMs, and Agentic Workflows to solve challenging security problems.
• Help the team in all aspects of building cloud & AI-powered features from inception to productization to monitoring in production.
• Lead, inspire, and motivate engineering teams as a mentor and technical leader to create a culture where engineers thrive, grow, and innovate in a high-performance environment.
• Lead or participate in design reviews to evaluate technology options, review peer code for adherence to best practices, leverage AI in building software and contribute to and refine documentation to improve engineering efficiency.
• Collaborate with cross-functional teams to integrate Security for AI and AI for Security, enhancing our threat detection and response capabilities.
• Embody our and