Microsoft Software Engineer II 

Taiwan, Taoyuan City 

392400245

a spirited sense

As aSoftware Engineer IIIn these roles, you will also leverage data engineering capabilities.

and grow

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Programming skills in one or more languages: C#, Java, Python, JavaScript, C++.
• 2+ years of experience with any of the following: SQL Server, Synapse, Azure Data Lake, Azure Data Factory, Databricks or similar technologies.
• Business level fluency to read, write and speak English and Spanish.

Additional or Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 2+ 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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    
  • OR equivalent experience.
    
• Exposure toMicrosoft Azureor other cloud platforms (GCP, AWS).
• Familiarity withAI/ML fundamentals, tools (like Azure ML, OpenAI), ordata analyticsworkflows.
• Understanding ofversion control systems(e.g., Git) andDevOpsand CI/CDpractices.
• CloudNativeArchitecture, with solid understanding of cost management,Scalabilityand observability.
• Curiosity, collaboration mindset, and a passion for solving real-world customer problems.

Microsoft will accept applications for these roles until July 18, 2025.

• Design, develop, deploy,andoperatescalable cloud-based data, analytics,automationand tooling solutions using modern data platforms and Cloud services.
• IntegrateAI capabilitiessuch asAzure OpenAI,Cognitive Services, andML (machine learning) modelsto enhance system intelligence and user productivity.
• Apply engineering top industry practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations.
• Implement robust monitoring,logging,and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions.
• Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences.
• Contribute to the evolution of Microsoft’s data platforms through technical feedback and innovation.
• Embody and champion our andand continuous learning.
• Additional areas may include:
  • ETL Pipelines: building and managing ETL (Extract, Transform, Load) pipelines.
  • Data Visualization: Represent key data insights visually to provide meaningful information to end-users.