Senior Software Engineer

11/21/2025

Own and operate highly scalable, reliable, and low-latency distributed systems. Design and implement features for configuration management, monitoring, analytics, and observability for cloud applications.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

About The Company

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

About the Role

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 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) These requirements include but are not limited to the following specialized security screenings: 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

Key Skills

CC++C#JavaJavaScriptPythonAzureAWSGCPAI-assisted Development ToolsDevOpsDistributed SystemsCloud TechnologiesMicroservicesCI/CD PipelinesLLMsMCP