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Software Engineer II

Microsoft

Software Engineer II

full-timePosted: Jun 24, 2026Updated: Aug 27, 2026Redmond, WA, US

Job Description

OverviewMicrosoft AI Search Places is the center of excellence for understanding and using location and geospatial knowledge for 1st and 3rd party scenarios. Our location services are used broadly by major Microsoft products such as Bing, Copilot, Ads, Office, Windows, Teams, and we power the Azure Maps APIs offered to 3rd party developers. The Search Places team uses geospatial knowledge and advanced Artificial Intelligence technologies to bring high quality Location Search capabilities for people and businesses around the world We are looking for a solid technical individual with rich industry experience and diverse skills ranging from traditional distributed computing to hands-on expertise in artificial intelligence. This position offers great opportunities to work on challenging problems, build solutions using cutting-edge technologies and have a direct impact on millions of users worldwide. If you are eager to take on challenges, the Search Places team has an exciting opportunity for you! Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.ResponsibilitiesDesigns and builds scalable, backend‑focused software services and distributed systems that improve service reliability, performance, security, and efficiency, supporting high‑volume geospatial and location‑based workloads in production. Applies engineering techniques and machine learning solutions to solve complex geospatial suggestion and location search problems in production. Works on core technology and engineering stack to deliver features to ensure premium service quality internationally. Experiments with new technologies such as LLMs to improve quality and efficiency of the system. Designs and builds software functionalities to improve service reliability, scalability, performance, security, efficiency, etc. Collaborates with partner teams to understand their geospatial services requirements, develop high quality services & solutions to deliver value to our customers. QualificationsRequired:Bachelor's Degree in Computer Science or related technical field AND 2+ years of technical engineering experience with coding in languages C# & .NETOR equivalent experience.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:Master's Degree in Computer Science or related technical field AND 2+ years work experience with coding in languages in C# & .NET OR Bachelor's Degree in Computer Science or related technical field AND 3+ years work experience with coding in languages including C# & .NETOR equivalent experience.Capable of designing and implementing scalable production quality services and automated solutions to process large scale data Solid collaborative and interpersonal communication skills. Maps/Geospatial experience. Understanding of Azure or other cloud services/functions. Leveraging Agentic Productivity Tools for tasks. Familiarity with machine learning frameworks and libraries and experience in machine learning and artificial intelligence projects. #MicrosoftAI Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:https://careers.microsoft.com/us/en/us-corporate-payThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Locations

  • Redmond, WA, US

Salary

102,100 - 202,200 USD / yearly

Skills Required

  • coding in languages C# &intermediate
  • coding in languages in C# &intermediate
  • coding in languages including C# &intermediate
  • machine learningintermediate
  • machine learning frameworksintermediate

Required Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 2+ years of technical engineering experience with coding in languages C# & .NETOR equivalent experience. (experience, 2 years)
  • 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: (experience)
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. (experience)

Preferred Qualifications

  • Master's Degree in Computer Science or related technical field AND 2+ years work experience with coding in languages in C# & .NET OR Bachelor's Degree in Computer Science or related technical field AND 3+ years work experience with coding in languages including C# & .NETOR equivalent experience. (experience, 2 years)
  • Capable of designing and implementing scalable production quality services and automated solutions to process large scale data (experience)
  • Solid collaborative and interpersonal communication skills. (experience)
  • Maps/Geospatial experience. (experience)
  • Understanding of Azure or other cloud services/functions. (experience)
  • Leveraging Agentic Productivity Tools for tasks. (experience)
  • Familiarity with machine learning frameworks and libraries and experience in machine learning and artificial intelligence projects. (experience)
  • Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. (experience)
  • Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:https://careers.microsoft.com/us/en/us-corporate-pay (experience)
  • This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. (experience)

Responsibilities

  • Designs and builds scalable, backend‑focused software services and distributed systems that improve service reliability, performance, security, and efficiency, supporting high‑volume geospatial and location‑based workloads in production.
  • Applies engineering techniques and machine learning solutions to solve complex geospatial suggestion and location search problems in production.
  • Works on core technology and engineering stack to deliver features to ensure premium service quality internationally.
  • Experiments with new technologies such as LLMs to improve quality and efficiency of the system.
  • Designs and builds software functionalities to improve service reliability, scalability, performance, security, efficiency, etc.
  • Collaborates with partner teams to understand their geospatial services requirements, develop high quality services & solutions to deliver value to our customers.

Benefits

  • general: Flexibility: Balance what matters—your work, your life, and your team—through trust, autonomy, and shared accountability
  • general: Growth: Stretch your skills, expand your impact, and grow with support that meets you where you are
  • general: Wellbeing: Support for your body, mind, and financial future—so you can stay energized and do your best work
  • general: Community PCS: Find your people, build your network, and feel supported every step of the way

Travel Requirements

Less than 25%

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