Backend Software Engineer II

Microsoft Viva Insights (Copilot Analytics)

Overview

Microsoft 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 II 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.

We encourage a sense of “founder-ism” within the team. Members engage directly with customers, iterate rapidly, and focus on solving real-world problems at global scale. Our culture is inclusive, casual, and motivated. We celebrate diverse backgrounds, value passion for customer impact, and emphasize accountability, learning, and career growth.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We foster a growth mindset, innovate to empower others, and collaborate to realize 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.

Responsibilities

• Design and implement scalable backend systems that power AI-driven insights and analytics for Microsoft 365 Copilot and Viva Insights.
• Design and implement intuitive, accessible, extensible, and engaging frontend experiences for AI-driven insights and analytics.
• 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 accelerate customers’ 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 emerging technologies, patterns, and best practices in AI, distributed systems, and cloud-native development.

Qualifications

Required / Minimum Qualifications

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years of 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 hands-on software design and coding experience.
• Ability to read and understand large, complex codebases and contribute meaningfully.
• Strong analytical, problem-solving, and debugging skills.

Other Requirements

• Ability to meet Microsoft, customer, and/or government security screening requirements.
• Must 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 3+ years of technical engineering experience
  OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years of technical engineering experience
  OR equivalent experience.
• Experience with C, C++, C#, Java, or other object-oriented programming languages.
• Experience with web technologies such as HTML, JavaScript, React, CSS, and TypeScript.
• Familiarity with modern version control systems (e.g., Git) and agile development methodologies.
• Experience applying AI/ML techniques or working with generative AI systems in production environments.
• Strong collaboration and communication skills to work effectively across teams.
• Demonstrated experience designing and implementing large-scale distributed systems or data platforms.