Requirements:

Bachelor's Degree in Computer Science or related technical field AND extensive technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Experience with data structures and optimization techniques for building low-latency, high-throughput service.
Ability to work collaboratively within a team and communicate effectively about complex technical concepts.
Experience with architecting large system and seeing them to production.
Passion for quality, performance, and reliability.
Ability to communicate in English.

Other Requirements:

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

Search or autosuggest experience.
Experience with maps data and/or geospatial services.
Experience with statistical methods, analysis, and data mining for quantitative analysis.
Demonstrated knowledge of architectural patterns for large, high-scale applications.

Design, develop and maintain efficient and scalable algorithms for Autosuggest and Geocoding.
Apply engineering techniques and machine learning solutions to solve complex geospatial suggestion and location search problems in production.
Work on core technology and engineering stack to deliver premium maps quality and suggestion experiences internationally.
Experiment with new technologies such as LLM, to improve quality, efficiency of location search services.
Lead and mentor others to produce extensible and maintainable code used across products.
Research and evaluate new technologies and techniques for improving geospatial suggestions such as place, address, or business.
Work effectively with cross-functional partners and stakeholders to set and achieve shared goals.

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