Principal Software Engineer - Backend/Fullstack
Role Overview
People and Work Intelligence builds intelligence capabilities for Microsoft 365, Copilot, workforce intelligence, learning, skills, tasks, and organizational insights.
The Principal Software Engineer provides hands-on technical leadership across intelligence, inferencing, platform, and agentic systems.
Key Skills for This Role
Full Job Posting
Role Overview
People and Work Intelligence builds intelligence capabilities for Microsoft 365, Copilot, workforce intelligence, learning, skills, tasks, and organizational insights.
The Principal Software Engineer provides hands-on technical leadership across intelligence, inferencing, platform, and agentic systems.
Responsibilities
- Define technical vision, architecture, and multi-year roadmaps for intelligence platform investments.
- Design distributed systems and AI-native solutions using LLMs, retrieval, agents, memory systems, knowledge graphs, and intelligence pipelines.
- Drive signal processing, contextual intelligence, recommendations, and enterprise-scale insight generation.
- Lead modernization, reliability, performance, scalability, cost-efficiency, observability, testing, and deployment automation initiatives.
- Mentor senior engineers and technical leads, resolve ambiguous challenges, and influence standards and direction across organizations.
- Represent the team across Microsoft and influence platform direction, partner integrations, and future intelligence capabilities.
Required Qualifications
- Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding, or equivalent experience.
- Coding experience in languages including C, C++, C#, Java, JavaScript, or Python.
- Ability to meet Microsoft Cloud Background Check and applicable customer or government security screening requirements.
Preferred Qualifications
- 12+ years building cloud-scale distributed systems.
- Experience with large-scale platform services, APIs, data-intensive systems, AI or machine learning platforms, LLM orchestration, retrieval, agent frameworks, or intelligent systems.
- Understanding of distributed systems, reliability, observability, security, privacy, and cloud architecture.
- Ability to influence across organizational boundaries, communicate complex concepts, mentor engineers, navigate ambiguity, and drive operational excellence.
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