
Microsoft
Principal Software Engineer
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Job Description
The Microsoft Dataverse Intelligence Platform organization is building the next generation AI-native business data and intelligence platform for Microsoft. Our mission is to help customers turn enterprise data, business knowledge, and operational processes into actionable intelligence that powers copilots, agents, business applications, and autonomous workflows. We build and operate the intelligent foundations that connect business data, semantic understanding, governance, analytics, process intelligence, and AI-powered execution at cloud scale. Our platform powers Microsoft Dynamics 365, Power Platform, Copilot experiences, and thousands of customer solutions worldwide. We enable organizations to securely transform business data into intelligence, intelligence into action, and action into measurable business outcomes. As AI reshapes how software is built and how businesses operate, we are investing deeply in AI-native platforms, intelligent data systems, agent orchestration, enterprise governance, and hyperscale infrastructure that will power the next generation of business applications. We are hiring for a Principal Software Engineer role within our Dataverse Intelligence Platform organization. These roles span several high-impact engineering areas, including: AI-native business applications and intelligent agents, Business data platforms and semantic intelligence, Process Intelligence and AI-powered automation, Enterprise knowledge, retrieval, and grounding systems, Distributed systems, cloud infrastructure, and platform engineering, AI-native developer experiences and platform services. In these roles, you will provide technical leadership across complex, interconnected platform systems that serve millions of users and power mission-critical business processes worldwide. You will help define platform strategy, drive architecture, modernize services, advance AI-native engineering practices, and influence technical direction across multiple product areas. Whether your background is in distributed systems, large-scale data platforms, AI infrastructure, retrieval and grounding systems, enterprise software, business applications, cloud services, or production AI systems, you will have the opportunity to shape the future of Microsoft's AI-powered business platform. You will partner closely with engineering, product, research, data science, security, and business teams to solve ambiguous technical challenges, build durable platform capabilities, and deliver customer impact at global scale. 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.
Qualifications
Required Qualifications
- 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.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to 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 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 OR equivalent experience.
- Experience designing, building, and operating large-scale distributed systems, cloud platforms, data platforms, AI services, or enterprise software systems.
- Experience building foundational platform capabilities that serve multiple products, services, customers, or engineering organizations at scale.
- Deep expertise in software architecture, distributed systems, data architecture, reliability engineering, scalability, performance optimization, and operational excellence.
- Solid programming experience in C#, Java, Python, JavaScript, C++, or similar modern development languages.
- Experience with Azure, cloud-native architectures, containerized workloads, platform services, and hyperscale cloud infrastructure.
- Experience building or operating business data platforms, knowledge systems, enterprise data services, semantic models, metadata platforms, retrieval systems, search technologies, or intelligence platforms.
- Experience developing AI-powered applications, LLM-enabled experiences, retrieval and grounding systems, agent frameworks, intelligent automation solutions, production AI services, or AI-native developer experiences.
- Experience applying AI throughout the software development lifecycle, including AI-assisted engineering, code generation, testing, quality validation, deployment automation, and operational intelligence.
- Experience with modern engineering practices including CI/CD, infrastructure as code, automated testing, observability, telemetry, incident management, and DevOps.
- Understanding of security, privacy, governance, compliance, reliability, accessibility, and Responsible AI principles required for enterprise-scale AI systems.
- Ability to create clarity in ambiguous environments, influence technical direction without formal authority, and align stakeholders around long-term platform investments and architectural decisions.
- Solid communication skills with the ability to translate complex technical concepts into clear engineering, product, customer, and business outcomes.
- Demonstrated experience mentoring senior engineers, driving cross-organization technical leadership, and raising the engineering bar across large engineering teams.
Skills & Technologies
About the Company
Microsoft
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Sign in to applyJob Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
$165,600 – $296,400
Location
Redmond, WA
Posted
5 days ago
Country
US