Description

Microsoft is hiring a Principal Software Engineer for its Dataverse Intelligence Platform organization to lead architecture, technical strategy, and design for large-scale business data, intelligence, AI, and cloud platform systems. The role focuses on distributed systems, cloud infrastructure, AI-native platform capabilities, Dataverse evolution, platform modernization, engineering excellence, and cross-organization technical leadership. Candidates need a bachelor's degree in computer science or a related technical field and at least 8 years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python; equivalent experience may qualify. The typical U.S. base pay range is USD $165,600-$296,400 per year, with higher ranges for the San Francisco Bay area and New York City metropolitan area.

Required Skills

Software architecture
Distributed systems
Cloud infrastructure
AI engineering
CI/CD
Observability
C#
Java
Python
JavaScript
C++

Additional Information

Minimum Education: Bachelor's degree in Computer Science or a related technical field
Required Previous Experiences: 8+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python
Experience designing, building, and operating large-scale distributed systems, cloud platforms, data platforms, AI services, or enterprise software systems
Experience building foundational platform capabilities serving multiple products, services, customers, or engineering organizations at scale
Preferred Qualifications: Master's degree in Computer Science or a related technical field
12+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python
15+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python
Experience with Azure, cloud-native architectures, containerized workloads, platform services, and hyperscale cloud infrastructure
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 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 and ability to translate complex technical concepts into clear engineering, product, customer, and business outcomes
Experience mentoring senior engineers, driving cross-organization technical leadership, and raising the engineering bar across large engineering teams

About Microsoft

Microsoft

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Principal Software Engineer at Microsoft

Description

Required Skills

Additional Information

About Microsoft

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