Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and sky is the limit thinking in a cloud-enabled world.
We’re looking for a Software Engineer who is passionate about building services that drive the next generation of AI-powered cloud services
As part of this team, you’ll work on the largest AI services in Microsoft, learn in a fast paced, live-site focused environment, and deliver customer value with everything we do.

REQUIRED/MINIMUM QUALIFICATIONS

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 8+ years cloud services development 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.

ADDITIONAL OR PREFERRED QUALIFICATIONS

• Bachelor’s Degree in Computer Science OR related technical field AND 12+ 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 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience building online services for consumers at scale and solid programming skills in C#, .NET core, Kubernetes, WebSockets, gRPC, multi-threaded microservices
• Platform/API design, debugging and data analysis skills.
• Experience in engineering methodologies: Unit testing, Test Driven Development and a firm commitment to quality
• Track record of shipping high-quality software on time
  Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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-pay
  Microsoft will accept applications for the role until March 25, 2025.
  Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

• Design, implement and deliver AI services to support expanded business offerings of Azure Cognitive Services in the cloud and on-prem.
• Use data-driven approach to build operational insights and drive operational excellence.
• Oversee the lifecycle of service delivery and service monitoring, find new and innovative ways to detect defects and improve livesite quality.
• With a focus on engineering velocity, provide our own engineers with the best set of development tools and empower every engineer on the team to do their best work.
• Enable customers to leverage various machine learning scenarios to drive tangible business impact.
• Provide feedback and help to improve our day-to-day development process and live site maintenance.
• Embody our culture and values