Microsoft Senior Software Engineer Frontend 

Taiwan, Taoyuan City 

859643664

Required Qualifications:

• Bachelor'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.

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:

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

Preferred Qualifications:

• 7+ years of hands-on software design and coding experience with web technologies like HTML, JavaScript, React, CSS, Typescript, etc.
• Familiarity with modern version control systems like Git and agile development methodologies.
• Experience applying AI/ML techniques or working with generative AI systems in production environments.
• Strong collaboration and communication skills to work effectively across teams and disciplines.
• Demonstrated experience designing and implementing large-scale distributed systems or data platforms.
• Good to have understanding & basic working experience with Backend technologies like C#, Java, etc.

• Design and implement intuitive, accessible, extensible and engaging frontend experiences that powers AI-driven insights and analytics for Microsoft 365 Copilot and Viva Insights.
• Lead the technical direction and vision for the architecture, design, and the implementation of Viva Insights & Copilot Analytics experiences.
• Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation.
• Collaborate across disciplines to define technical requirements, design user experiences, and deliver high-quality, maintainable components.
• Drive engineering excellence through thoughtful technical design, automated testing, observability, and operational rigor.
• Contribute to team culture by mentoring peers, sharing knowledge, and fostering an inclusive, growth-oriented environment.
• Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development.