Senior Software Engineer - CoreAI

• Own and operate highly scalable, reliable, and low-latency distributed systems that power mission-critical workloads

• Design and implement features that enable configuration management, monitoring, analytics, and observability for modern cloud applications

• Drive integration with other Azure services to deliver seamless customer experiences

• Write high-quality, well-tested code and own the DevOps lifecycle, including monitoring, alerting, and incident response

• Integrate AI-assisted development tools to improve engineering productivity and code quality

• Contribute to AI-enhanced features using technologies such as Large Language Models (LLMs), Model Context Protocol (MCP) servers, and Retrieval-Augmented Generation (RAG)

• Mentor others, fostering technical growth, promoting engineering best practices, and leading initiatives to enhance team capabilities and collaboration

• MS Culture & Values: Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience

• 4+ years of experience with cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)

• 1+ years of proficiency with AI-assisted development tools (e.g., GitHub Copilot, IntelliCode)

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 Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

• Experience with .NET is a plus

• Experience developing, deploying, or integrating AI-powered solutions in production environments

• Experience building or integrating AI applications using technologies such as LLMs, Model Context Protocol (MCP) servers, or RAG pipelines

• Working knowledge of web and cloud technologies, including containers, microservices, and CI/CD pipelines

• Familiarity with distributed systems, cloud-native architectures, or managed cloud services

#CoreAI

#DevDiv

#DDJL

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.