The Principal Software Engineer role within the Dataverse Intelligence Platform organization focuses on building AI-native business data and intelligence platforms for Microsoft. The team aims to transform enterprise data into actionable intelligence that powers various applications and workflows. This position involves providing technical leadership across complex systems that serve millions of users and influence the future of Microsoft's AI-powered business platform. Candidates will work closely with various teams to solve technical challenges and deliver impactful solutions at scale.

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• Master's Degree in Computer Science or related technical field AND 12+ 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 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

• Lead architecture, technical strategy, and design for large-scale business data, intelligence, AI, and cloud platform systems.
• Design and evolve cloud-native distributed systems that power enterprise-grade business applications and AI-driven experiences.
• Lead the development of AI-native platform capabilities, including enterprise retrieval and grounding systems.
• Drive the evolution of Dataverse as the business data and intelligence platform for the AI era.
• Champion AI-native engineering practices across the organization.
• Define platform architecture and modernization strategies that improve platform consistency and maintainability.
• Partner with engineering leaders and stakeholders to shape roadmaps and deliver platform capabilities.
• Evaluate architectural tradeoffs across data platforms and distributed services.
• Establish reusable platform patterns, frameworks, APIs, and intelligence services.
• Champion engineering excellence through secure development practices and operational rigor.
• Mentor and develop engineers through technical leadership and architecture reviews.
• Foster a culture of customer obsession, innovation, and inclusive collaboration.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.