微软Software Engineer

任职要求

Required/Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 
• Experience with A/B testing methodologies and experimentation platforms. 
• Proficiency in at least one big data technology (e.g., Hadoop, Spark) and experience with job tuning for large-scale data processing. 
• Hands-on experience designing, building, and maintaining distributed systems or compute pipelines. 
• Coding proficiency in at least one programming language such as C++, C#, Java, Python, or similar. 
• Ability to work collaboratively in a diverse, cross-functional engineering environment. 
Preferred Qualifications 

• Master’s degree in Computer Science, Engineering, or a related technical field. 
• Experience supporting both first-party and third-party customers in a cloud or distributed systems environment. 
• Familiarity with Microsoft Azure, Azure Data Lake, Azure Synapse, or similar cloud data platforms. 
• Experience optimizing experimentation infrastructure for reliability and performance. 
• Demonstrated commitment to continuous learning and knowledge sharing. 
 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

工作职责

• Design, build, and maintain scalable compute pipelines for A/B scorecard calculation, supporting both first-party and future third-party customers. 
• Develop and optimize distributed systems for high-performance experimentation infrastructure.  
• Implement and tune big data technologies (e.g., Hadoop, Spark) to ensure efficient processing of large-scale experiment data.  
• Collaborate with engineers, product managers, and stakeholders to define requirements and deliver impactful experimentation solutions.  
• Apply A/B testing methodology to drive data-driven decision-making across Microsoft.  
• Monitor, troubleshoot, and improve the reliability and performance of experimentation pipelines.  
• Contribute to a culture of innovation, continuous learning, and knowledge sharing within the team.