Senior Software Engineer

Are you passionate about building high-performance, low-latency systems that power mission-critical workloads? The Azure Dev Services team delivers a suite of fully managed Azure services including Azure App Configuration, Azure Managed Grafana, Azure Managed Redis, and Azure Diagnostics that help developers build, monitor, and scale modern cloud applications with confidence. 
  
As a Senior Software Engineer on the Azure Dev Services team, you’ll take ownership of key product areas, collaborate across Azure, take a leading role in product development, and help shape the future of developer infrastructure and observability. This opportunity will allow you to deepen your distributed systems expertise, work with cutting-edge Artificial Intelligence (AI) technologies, and grow your impact across Azure. 
  
This role is part of a dynamic and collaborative team in the Developer Division under the CoreAI business group. 
   
Microsoft Culture 
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.    
   
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 

Required Qualifications:

• 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

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. 

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 posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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• 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 and Values