Software Engineer, Infrastructure, Ads Privacy Data Governance
Google· Internet & Cloud Services· Jul 30, 2026 · 3mo agoPosted 89 days ago
Mountain View, CA, USA · New York, NY, USA
In office
Full-time
Mid
$130K–$175K est.
2+ years exp
Before you apply
Ghost Signal:
Open 89 days.
Job description
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Ads Privacy Data Governance (APDG) team is at the forefront of Google’s commitment to user trust. We build and maintain high-scale privacy compliance infrastructure that governs Google's Ads data at rest. Our mission is to ensure that every byte of data used across our advertising platforms aligns with evolving global privacy standards, creating a secure foundation for the future of digital advertising.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Lead the end-to-end design and implementation of distributed privacy infrastructure to manage large-scale data governance tasks.
• Build and integrate GenAI-driven solutions and agentic frameworks to automate complex compliance workflows for data owners.
• Manage and optimize production execution pipelines to ensure high availability and performance of privacy-critical systems.
• Partner closely with Product Managers, UX Designers, and Technical Program Managers to translate privacy policies into robust technical requirements.
• Own the full technical project lifecycle, from initial architectural design to deployment and long-term maintenance.
• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 2 years of experience with software development using C++, or 1 year of experience with an advanced degree (Master's or PhD) in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Minimum qualifications:
• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 2 years of experience with software development using C++, or 1 year of experience with an advanced degree (Master's or PhD) in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
• Master's degree or PhD in Computer Science, Computer Engineering, or related technical fields.
• 2 years of experience with data structures, algorithms, system design, or large-scale data processing systems.
• Experience developing accessible technologies and user-centric developer tools.
• Experience building and deploying Generative AI applications, agentic workflows, or LLM-based automation tools in production environments.
• Ability to own full end-to-end technical aspects of projects with attention to detail, working effectively with cross-functional partners (PM, TPM, UX, Legal/Policy) and a keen interest in internet privacy.
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