Software Engineering IC5

Microsoft Commerce powers the business engine behind Microsoft’s global ecosystem, enabling the monetization of products and services that reach hundreds of millions of customers worldwide. Every Azure workload, Microsoft 365 subscription, Copilot seat, marketplace transaction, consumption-based service, enterprise agreement, and emerging AI offering relies on Commerce platforms operating at massive scale. As a Principal Software Engineer, you will work at the intersection of AI, cloud computing, distributed systems, large-scale commerce platforms, and business transformation . You will help define the next generation of intelligent commerce capabilities that enable Microsoft to innovate faster, launch new business models, support AI-native products, and deliver exceptional customer experiences. Commerce sits at the center of Microsoft's future growth strategy, supporting increasingly complex monetization models, AI-powered offerings, consumption-based experiences, ecosystem partnerships, and global compliance requirements. This platform is central to Microsoft's ability to commercialize innovation at worldwide scale. You will have a unique opportunity to shape how AI transforms Commerce, helping Microsoft evolve into an AI-first enterprise where intelligent systems, agents, automation, and human expertise work together to accelerate innovation and deliver measurable business value.

What You'll Do Architect and Build Next-Generation Commerce Platforms Lead the architecture, design, and implementation of highly scalable, secure, and resilient distributed systems. Drive technical strategy across multiple services, domains, and engineering teams. Design cloud-native solutions capable of handling mission-critical workloads at Microsoft scale. Solve complex cross-organizational engineering challenges involving performance, scale, reliability, and operational excellence. Define long-term platform evolution strategies aligned with business and product goals. Drive AI-Native Engineering Build intelligent systems leveraging Generative AI, Agentic AI, LLMs, RAG architectures, vector databases, orchestration frameworks, and AI agents. Define patterns for AI-powered product experiences and engineering productivity. Establish evaluation frameworks, quality gates, observability, and governance for AI-driven systems. Apply Responsible AI principles throughout the software development lifecycle. Design architectures where humans and AI collaborate effectively to improve productivity, quality, and innovation. Own End-to-End Engineering Excellence Drive engineering quality across architecture, implementation, testing, deployment, and operations. Establish strong standards around reliability, performance, maintainability, security, and usability. Champion automated testing, continuous integration, continuous deployment, and operational readiness. Lead root cause investigations and drive systemic fixes for production issues. Ensure systems meet Microsoft requirements for privacy, compliance, availability, and security. Technical Leadership Serve as a recognized technical leader across teams and organizations. Influence architecture and design decisions beyond immediate team boundaries. Mentor senior and principal engineers. Drive technical reviews, architecture boards, and engineering excellence initiatives. Act as a trusted advisor to engineering leaders, product leaders, and business stakeholders.

Experience Bachelor's degree in Computer Science, Engineering, or related technical field. 10+ years of professional software engineering experience building large-scale production systems. Experience serving as technical lead or architecture owner for complex enterprise-scale platforms. Proven track record of delivering business-critical systems that operate reliably at scale. Technical Expertise Software Engineering Expert-level proficiency in one or more languages such as C#, Java, Python, Go, or C++.