New 
Software Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 26, 2025 | |
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OverviewMicrosoft Viva Insights (also known as Copilot Analytics) empowers organizations to thrive in the era of AI-powered work. As part of Microsoft 365 Copilot, it delivers privacy-protected, data-driven insights through a unified experience that helps organizations maximize the impact of their workforce by understanding and accelerating the adoption of Copilot and Agents.Our team builds this platform using cutting-edge AI and large-scale data systems to surface actionable insights from collaboration and business signals. We're hiring a Backend Software Engineer to help deliver intuitive, AI-powered experiences that enable customers to understand work patterns, optimize collaboration, and unlock the full value of Microsoft Copilot. We also use generative AI extensively in our own development process to move fast, learn continuously, and deliver customer value at scale.In the fast-moving world of AI innovation, we operate with a startup mindset-agile, customer-obsessed, and deeply collaborative. Our inclusive, growth-oriented culture is grounded in Microsoft's mission to empower every person and organization on the planet to achieve more. 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.
ResponsibilitiesDesign and implement scalable backend systems that power AI-driven insights and analytics for Microsoft 365 Copilot and Viva Insights.Build and optimize data pipelines and services that process billions of signals to generate actionable, privacy-aware insights.Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation. Collaborate across disciplines to define technical requirements, design robust APIs, and deliver high-quality, maintainable code.Drive engineering excellence through thoughtful technical design, automated testing, observability, and operational rigor.Contribute to team culture by mentoring peers, sharing knowledge, and fostering an inclusive, growth-oriented environment.Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development. | |