• Design and implement scoped features and components with guidance on broader system context.
• Contribute to technical design discussions and review designs for correctness, reliability, and maintainability.
• Write, test, deploy, and maintain production-quality code following established engineering practices.
• Create and maintain technical documentation for owned components.
• Collaborate with peers and partner teams to deliver features end to end.
• Identify and address bugs, performance issues, and operational gaps in owned areas.
• Apply security, reliability, and compliance best practices throughout the development lifecycle.
• Contribute to the implementation and integration of AI-enabled functionality, applying foundational AI/ML concepts under guidance.

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.

Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• • OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience delivering production-ready features with a solid foundation in software engineering fundamentals (data structures, algorithms, system design).
• Familiarity with AI/ML concepts, including agentic workflows and integrating AI models into applications.
• Experience with cloud platforms, cloud-native architectures, and modern application development patterns.
• Exposure to containers, Azure Kubernetes Services (AKS), platform engineering, CI/CD pipelines, DevOps practices, and infrastructure automation.
• Experience building data solutions using Azure/Fabric Data Factory, including complex pipelines and dataflows.
• Ability to work independently and collaboratively in iterative development environments, with effective written and verbal communication skills.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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

This 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.