Microsoft Senior Data Software Engineer 

Taiwan, Taoyuan City 

524906306

Required Qualifications:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR equivalent experience.
• 4+ years of industry experience building, designing, managing and delivering highly available, large-scale: cloud services and/or distributed systems / services on a cloud platform

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:

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

Additional or Preferred Qualifications:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering,orrelated field AND 8+ years experience in business analytics, data science, software development, data modelingordata engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR equivalent experience

• Design and develop large scale distributed software services and solutions
• Adhere to and drive modern software engineering practices through design reviews
• System design through well-defined interfaces across multiple components, code reviews, leveraging data/telemetry to make decisions
• Partner with and mentor team members
• Model best practices for quality and live site-focus
• Exercise a willingness to learn and share while collaborating with researchers, data scientists and cross-functional teams to improve the AI Platform’s capabilities and address customer requirements
• Improve test coverage for services, organize and implement integration tests, and resolve problem areas
• Consider testability, portability/monitoring, reliability, and maintainability, and understands when code is ready to be shared and delivered .
• Focus on customer/partner needs through a data driven approach
• Troubleshoot and optimize automation, reliability, and monitoring for Live Site.