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Microsoft Software Engineer II Azure Core Economics 
Taiwan, Taoyuan City 
301773771

09.10.2025

Required 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.
  • 1+ year(s) of experience working within a cloud environment such as Microsoft Azure, Amazon Web Services, or Google 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.

Preferred Qualifications:

  • 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 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 equivalent experience.
  • 1+ year(s) of experience leveraging relational database and SQL skills, with working knowledge of data warehousing concepts, including technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (such as Cosmos DB, Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, and Flume)
  • 1+ year(s)of experience applying software development skills to economics-oriented and data-intensive products and problems
  • 1 + year(s) of experience working within a cloud environment such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform, including 1+ years of experience deploying statistical or machine learning models at scale
Responsibilities
  • Works with appropriate internal stakeholders (e.g., economists, data scientists, engineers, researchers, program managers, and business planners) to understand and determine customer/user requirements for a set of features and executes project plans, release plans, and work items
  • Creates and implements code for a product, service, or feature that is extensible and maintainable with minimal supervision
  • Applies best practices to build code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants
  • Contributes to identifying dependencies, and incorporates them into the development of design documents for a product area with little oversight
  • Creates a clear test strategy that ensures solution quality and prevents regressions from being introduced into existing code with minimal supervision
  • Contributes to efforts to classify and analyze data with little oversight on a range of metrics and helps to create outputs (such as notifications and dashboards) that improve monitoring
  • Remains current in skills by investing time and effort into being informed of current developments that will improve the performance of products