Microsoft Senior Software Engineer 

Taiwan, Taoyuan City 

348373412

This role supports flexible work from home with occasional in-office meetings.

equired Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years of experience in data science, analytics, or machine learning
• 4+ years of experience in developing solutions with Microsoft Power Platform (Power BI, Fabric, Power Automate & M365 Dataverse).
• Proven ability to design and evaluate machine learning models for business impact, apply advanced statistical techniques, and communicate insights effectively, combined with hands-on proficiency in SQL, Python, and R.

Other Requirments:

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:

• 4+ years of experience managing cross-functional and/or cross-team projects.
• Excellent written and verbal technical communication skills and demonstrated ability to drive cross-team improvements
• Creative problem-solving & analytical skills to drive keen insights and identification of opportunities combined with a “sense of urgency” to develop solutions.
• Understanding and knowledge about big data and writing queries with Kusto/KQL.
• Technical knowledge of Azure, storage, file systems, networking
• Deploying solutions in Azure Services & Managing Azure Subscriptions

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

Microsoft will accept applications for the role until October 10, 2025.

• Design and implement robust experimentation and evaluation frameworks, while curating high-quality datasets to continuously assess, refine, and drive improvements in model performance and overall solution quality.
• Provide technical leadership and contribute to experimentation infrastructure and proofs-of-concept to test out new ideas and concepts
• Sets the bar for how the team plans, documents and communicates in a clear and efficient way.
• Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures.
• Lead by example and mentor others to produce extensible and maintainable code used across products.
• Develop and evangelize insights, best practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.
• Drive continuous improvements in the architecture, code, features, operations and comprehensive use scenarios of products by leveraging end-to-end technical expertise.
• Make improvements to the product fundamentals and architecture, share knowledge and code, always looking for ways to make what we build useful to multiple teams and products.
• Demonstrate end-to-end expertise in distributed systems design, interactions between cloud technology layers.