Atlanta, United States; Mountain View, United States; New York, US; Redmond, United States
Full job description
Microsoft is hiring a Senior Software Engineer for AdTech Clean Room platform engineering. The role involves designing, building, securing, and operating infrastructure for Microsoft's clean room capabilities including audience activation, identity resolution, measurement, and partner data collaboration. Responsibilities include developing scalable platform patterns, building reusable infrastructure components, implementing secure and compliant environments, managing access controls and monitoring, enabling secure identity and data services, ensuring operational excellence, and defining platform architecture and standards. Required qualifications include a Bachelor's degree or equivalent experience, 4+ years coding experience in Python, SQL, PowerShell, Terraform, or Bicep, and preferred 5+ years in cloud infrastructure, platform engineering, DevOps, or data platform engineering with Azure. Experience with secure environments, compliance standards (ISO, SOC), CI/CD, infrastructure as code, privacy-safe data collaboration, and large-scale analytics platforms (Microsoft Fabric, Databricks, Spark, Azure Data Factory, Event Hubs, Synapse) is preferred. Salary ranges from $119,800 to $234,700 annually, with higher ranges for San Francisco Bay Area and New York City. Locations include Redmond, WA; New York, NY; Atlanta, GA; and Mountain View, CA.
What you'll do
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Design, build, and operate 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 supporting multiple partners, data providers, and clean room use cases
Implement infrastructure supporting ISO-certified and highly regulated environments 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 for commercial identity graph, audience activation, and clean room measurement
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
Partner with Engineering, Marketing, Privacy, Security, Data Engineering, and external partners to develop scalable long-term clean room solutions
Requirements
Bachelor's Degree in Computer Science or related technical field or equivalent experience
4+ years technical engineering experience with coding in Python, SQL, PowerShell, Terraform, or Bicep
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
Experience with AdTech or MarTech capabilities such as audience activation, identity graphs, CDPs, and measurement platforms
Tech stack
PythonSQLPowerShellTerraformBicepAzureMicrosoft FabricDatabricksSparkAzure Data FactoryEvent HubsSynapseCI/CDInfrastructure as CodeObservabilityPlatform operations
Benefits
Certain roles may be eligible for benefits and other compensation (details at https://careers.microsoft.com/us/en/us-corporate-pay)
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