New 
Software Engineer II
 Microsoft | |
 United States, Washington, Redmond | |
 Aug 22, 2025 | |
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OverviewAre 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 Software Engineer II on the Azure Dev Services team, you'll take ownership of key product areas, collaborate across Azure, 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 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 offers a hybrid work environment and is remote-friendly. Microsoft CultureMicrosoft'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.
ResponsibilitiesResponsibilitiesOwn 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 and share knowledge to improve team capabilities and engineering practices.MS Culture & Values: Embody our Culture and Values. | |