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Do you enjoy solving complex technical problems on a global scale? Microsoft AI Monetization is building the next generation of privacy‑preserving measurement and data collaboration systems. As digital advertising evolves, advertisers need accurate, privacy‑safe ways to understand performance and optimize spend. The Measurement & Data Collaboration Engineering team delivers secure, compliant technology that enables data collaboration without compromising user trust. As Principal Software Engineer, Microsoft AI Monetization, you will architect and build the most impactful systems to achieve this mission while demonstrating excellence to elevate your team as a technical leader.
Job Responsibility:
Architect and build highly scalable backend services and data pipelines that support privacy‑preserving measurement and analytics scenarios using C# or Java
Design secure data collaboration workflows across multiple parties using modern privacy technologies, governance controls, and minimum‑aggregation protections
Lead engineering direction for high‑reliability ingestion and processing systems with clear SLOs, solid resiliency, and top‑tier operational excellence
Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation
Champion engineering quality: design reviews, automated testing, monitoring/alerting, and production readiness
Mentor and guide engineers across the team, strengthening system design depth, architectural thinking, and execution rigor
Collaborate closely with product, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities
Guide the ENG team with best practices leveraging AI dev tools across the software development lifecycle (SDLC)
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
6+ years of experience building and operating large‑scale distributed systems, backend services, or data platforms
Expertise in cloud infrastructure (Azure, AWS, or GCP), including service design, storage, compute, networking, application and network security, and CI/CD pipelines
Experience with secure data processing, privacy‑preserving techniques, access control, or data governance
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
Nice to have:
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
7+ years of experience building and operating large‑scale distributed systems, backend services, or data platforms
Background in advertising, marketing technology, attribution, or large‑scale analytics
Familiarity with privacy‑enhancing technologies such as differential privacy, minimum aggregation, or secure computation patterns
Experience integrating third‑party (vendor/partner) platforms, identity systems, or data collaboration technologies