Senior Software Engineer, Infrastructure, Ads Safety

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.

As a Senior Software Engineer on the Ads Safety Infrastructure team, you will be a key architect of the systems that safeguard Google’s advertising ecosystem. You will lead the design and evolution of our large-scale data planes, distributed analytics warehouses, and policy management systems. This is a high-impact role where you will address complex infrastructure challenges, re-architect legacy pipelines for the AI era, and mentor the next generation of engineers in a culture of technical excellence.

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.

Responsibilities

• Lead the design and development of our next-generation platform for policy enforcement, ensuring high performance, scalability, and exceptional usability from the UI to the back-end services.
• Architect and evolve a high-throughput distributed data warehouse, optimizing for real-time ingestion and massive data volumes to provide critical insights for global safety analysis.
• Drive the re-architecture of large-scale indexing and search infrastructure to deliver sub-second discovery and high-precision impact analysis for global enforcement teams.
• Partner with the product team to translate strategic goals into technical roadmaps and milestones.
• Lead technical excellence through design reviews, mentorship, and modern engineering best practices.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with developing large-scale infrastructure, or distributed systems or networks, or experience with compute technologies, or storage or hardware architecture.
• 3 years of experience in software design, architecture, and development of large-scale distributed systems.
• 3 years of experience with back-end infrastructure development using C++.
• Experience building and maintaining data processing pipelines or database systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience building or architecting systems that integrate with AI Agents, Large Language Models (LLMs), or autonomous workflows at scale.
• Experience driving technical alignment across multiple engineering, product, and operations teams.
• Experience in building systems for safety, abuse-fighting, or integrity in a large-scale ecosystem.
• A track record of successfully leading major system re-architectures or technical debt reduction initiatives in large-scale environments.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Pittsburgh, PA, USA.