Principal Software Engineer - Cloud Infrastructure & AI Systems

Design, build, and operate intelligent cloud services that power firmware lifecycle management, fleet health, and platform reliability across Azure's global infrastructure. Lead the development of AI-driven and autonomous platform capabilities that improve deployment orchestration, firmware compliance, predictive maintenance, and infrastructure remediation at hyperscale. Drive complex, cross-organizational initiatives across Azure Infrastructure, AI, Hardware, Firmware, and Datacenter Operations teams to deliver innovative platform solutions. Architect scalable systems that leverage telemetry, machine learning, and automation to proactively detect, diagnose, and remediate out-of-service nodes and infrastructure health issues. Solve challenging distributed systems and cloud-scale engineering problems while advancing operational excellence, reliability, and efficiency across diverse hardware generations, SKUs, and firmware technologies. Provide technical leadership and influence Azure-wide engineering strategy through innovation, execution excellence, and collaboration across multiple organizations. 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 OR equivalent experience. 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. 10+ years of experience architecting, building, and operating large-scale distributed systems and cloud services, including ownership of mission-critical production environments. Proven experience driving AI-enabled engineering practices, automation, and data-driven decision making to improve developer productivity, operational excellence, and service reliability. Demonstrated ability to translate customer, business, and platform needs into durable technical strategy and high-impact engineering outcomes.Track record of leading complex cross-organizational initiatives, influencing technical direction, and aligning diverse stakeholders to deliver platform-wide solutions. Understanding of firmware technologies, infrastructure lifecycle management, or cloud-scale fleet operations. Experience with reliability engineering, fleet health management, service remediation, and operational excellence at hyperscale.