Principal Software Engineer-ASG

Microsoft is a leading technology company that empowers individuals and organizations to achieve more. They are seeking a Principal Software Engineer to drive the technical vision for biometric identity systems, focusing on security-critical applications that enhance digital interactions. The role involves architecting scalable AI systems, mentoring engineers, and shaping the technical direction across teams.

Responsibilities:

• Architect and deliver highly scalable, cross-platform biometric identity and AI systems spanning cloud, web, client, and embedded devices
• Design hybrid cloud and device-based intelligence that balances latency, privacy, cost, and security across Azure, Microsoft Entra, and first party Microsoft platforms
• Create evaluation frameworks and telemetry to measure system impact and drive continuous optimization
• Drive the cross-organizational technical roadmap, partnering with research, hardware, and product teams to integrate the latest AI capabilities
• Prototype and implement intent-driven reasoning layers, agentic workflows, and secure execution environments
• Raise the engineering bar across the organization through architecture reviews, mentorship, and championing secure, adaptable, and modular system design

Requirements:

• 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
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
• 8+ years of hands‑on coding experience in one or more general‑purpose languages (e.g., C, C++, C#, Java, JavaScript, Python), delivering production systems
• Strong system design and architectural skills, with experience setting technical direction across teams
• Proven experience designing and delivering cloud‑ and device‑based systems, making informed tradeoffs across latency, privacy, cost, reliability, and context
• Experience building AI‑powered systems, including model integration, inference optimization, and evaluating production performance
• Deep expertise in cloud services, distributed systems, and high‑scale architectures, including operating security‑critical systems in production
• Experience delivering across multiple client platforms (Windows, Linux, macOS, iOS, Android, web), with the ability to reason about platform tradeoffs
• Ability to lead complex, ambiguous initiatives from concept to production with minimal guidance
• Track record of security‑conscious engineering, mentoring senior engineers, influencing architecture, and raising technical standards
• Strong engineering fundamentals and a continuous‑learning mindset, with the ability to adapt to emerging AI tools and paradigms