Principal Software Engineer--M365 Deployment Team China, Jiangsu, Suzhou + 1 more Posted 4 hours ago

About this opportunity

Define the technical vision, architecture, and long-term strategy for key areas of our next-generation deployment platform. Lead the transformation from a primarily human-centric deployment system toward an AI-native platform where humans and AI agents are first-class participants. Define the platform capabilities, APIs, abstractions, telemetry, control mechanisms, and safety boundaries that enable agents to reason, act, collaborate, and autonomously execute deployment workflows at scale. Drive the application of AI and agent technologies across deployment, validation, troubleshooting, mitigation, recovery, and other engineering workflows. Drive modernization toward more modular, independently evolvable, scalable, observable, and resilient deployment architecture. Tackle the team's hardest and most ambiguous technical challenges, identify systemic architectural issues, and create durable solutions that extend beyond individual features. Establish engineering principles and standards for reliability, security, observability, scalability, quality, and operational excellence. Drive technical alignment across organizational boundaries and resolve complex architecture, dependency, and ownership challenges. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master'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 Bachelor'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 equivalent experience. Deep software engineering expertise with a proven track record of designing, building, and operating large-scale distributed systems or cloud platforms. Solid hands-on coding and system-design skills, with demonstrated ability to solve complex architectural and engineering problems. Demonstrated experience defining architecture and providing technical leadership for complex, multi-team engineering initiatives. Ability to navigate highly ambiguous problems, identify the highest-impact technical investments, and translate long-term vision into clear architecture and execution. Solid understanding of reliability, scalability, observability, security, performance, and operational excellence for production services. Solid understanding of AI/LLM and agent technologies, with the ability to translate their capabilities into practical platform architecture and engineering systems. Proven ability to influence technical decisions and establish alignment across organizational boundaries. Excellent written and verbal communication skills, including the ability to communicate complex technical strategies to both engineering and leadership audiences.