Do you enjoy solving complex technical problems on a global scale? Microsoft AI Monetization enables advertisers to measure impact and optimize spend through secure, privacy-preserving data collaboration. The Measurement and Data Collaboration Engineering team is responsible for building the next generation of privacy-safe measurement systems that allow advertisers and partners to work with data in highly secure environments.
Our platform integrates Microsoft’s Azure Confidential Compute Clean Room (ACCR) with third-party clean room partners to deliver a unified, compliant, and scalable measurement ecosystem. We are looking for a Senior Software Engineer who is passionate about distributed systems, privacy-enhancing technologies, secure data processing, and building reliable production services with global impact.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:
Design 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.
Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.
Lead initiatives to make delivery of high-quality software routine and efficient through the entire software development lifecycle, from inception and technical design through testing and excellence in production operations.
Collaborate closely with product, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities.
Contribute to engineering team best practices leveraging AI dev tools across the software development lifecycle (SDLC).
Qualifications:
Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
5+ years of experience building and operating large-scale distributed systems, backend services, or data platforms.
Experience with large-scale data processing frameworks (e.g. Spark, SQL-based pipelines) and cloud platforms.
Understanding of secure data processing, encryption, identity, and access control.
Experience building and operating services with strict SLAs.
Experience with Azure.
Background in advertising, marketing technology, attribution, or large-scale analytics.
Experience integrating third-party (vendor/partner) platforms, identity systems, or data collaboration technologies.
Solid problem-solving skills with a focus on reliability, observability, and system design.
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