Senior Software Engineer

Microsoft•Redmond, WA

10d•$119,800 - $261,000

About The Position

We are looking for an AdTech Clean Room Senior Software Engineer to join Microsoft's AdTech Engineering organization. This role will be responsible for designing, building, securing, and operating the infrastructure required to support Microsoft's next-generation clean room capabilities, including ACCR, privacy-safe audience activation, identity resolution, measurement, and partner data collaboration initiatives. As Microsoft expands its investment in clean room technologies and privacy-safe marketing solutions, this engineer will play a critical role in establishing the foundational platform, security controls, data movement patterns, identity services, and operational frameworks required to support clean room workloads at scale. This role requires experience in cloud infrastructure, data platforms, security, privacy, and platform engineering to deliver highly secure, compliant, and scalable environments that enable collaboration between Microsoft and external partners while protecting sensitive customer and commercial data. 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.

Requirements

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, Python, SQL, PowerShell, Terraform, or Bicep OR equivalent experience.

Nice To Haves

5+ years in infrastructure, cloud, platform, DevOps, SRE, or data platform engineering, including Azure and enterprise-scale systems.
Experience building secure environments for sensitive or regulated data, including identity and access management, security architecture, governance, auditing, and ISO, SOC, privacy, or regulatory controls.
Experience with CI/CD, Infrastructure as Code, automated provisioning, observability, and platform operations.
Experience designing privacy-safe data collaboration solutions using clean rooms, privacy-enhancing technologies, confidential computing, identity resolution, consent management, audience matching, or measurement.
Experience with large-scale analytics platforms—such as Microsoft Fabric, Databricks, Spark, Azure Data Factory, Event Hubs, or Synapse—and AdTech or MarTech capabilities such as audience activation, identity graphs, CDPs, and measurement platforms.

Responsibilities

Design, build, and operate the infrastructure supporting Microsoft's clean room ecosystem and privacy-preserving data collaboration capabilities.
Develop scalable platform patterns for clean room data onboarding, audience creation, identity matching, measurement, and activation workflows.
Build reusable infrastructure components and secure data exchange mechanisms that support multiple partners, data providers, and clean room use cases.
Implement infrastructure supporting ISO-certified and highly regulated environments required for sensitive audience and identity processing initiatives.
Design and manage access controls, network isolation, identity management, encryption, auditing, and monitoring capabilities.
Partner with Privacy, Security, and Compliance teams to ensure adherence to NGP, privacy-by-design, data governance, audit requirements, and support environment readiness activities, certifications, audits, and compliance reviews.
Enable secure infrastructure for identity resolution, audience matching, consent management, opt-out processing, and partner data onboarding.
Build platform services supporting first-party, third-party, and partner data ingestion into clean room environments, including infrastructure requirements for commercial identity graph, audience activation, and clean room measurement capabilities.
Develop observability, monitoring, logging, alerting, and operational automation for clean room services and data pipelines.
Define and maintain reliability, security, and operational readiness standards.
Automate deployment, environment provisioning, configuration management, and operational controls.
Lead root cause investigations and drive preventative improvements for critical platform services.
Define infrastructure standards, architecture patterns, and engineering practices for clean room technologies.
Evaluate emerging clean room technologies, privacy-enhancing technologies (PETs), identity solutions, and secure collaboration frameworks.
Partner with Engineering, Marketing, Privacy, Security, Data Engineering, and external partners to develop scalable long-term clean room solutions.
Embody our culture and values.