Senior Software Engineer, Google Ads Safety

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in back-end, data, or infrastructure engineering with designing and building back-end systems including serverless and Service-Oriented Architecture (SOA) architectures.
• 1 year of experience with software design and architecture with programming languages such as C++, Python or Java.
• Experience with big data systems and database optimizations and distributed systems.
• Experience in full-stack development, system design, query optimization, database optimization, back-end, data processing, distributed systems, Infrastructure as a Service, Spanner, F1, Boq, GoogleSQL or NoSQL.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.
• Experience with modern frontend frameworks (e.g., React, Angular) and front-end/backend integration.
• Familiarity with distributed computing and big data technologies (e.g., Apache Spark, Hadoop).

About the job

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.

Within Ads Safety, the Analysts Empowerment (AE) team is responsible for providing essential infrastructure and tools to empower analysts to safeguard users and ensure Google Ads safety through evolving capabilities.

In this role, you will lead the core data and policy enforcement infrastructure. You will be architecting and scaling the full-stack from the data plane that ingests and processes petabytes of data, to the backend services that execute policy logic, and the APIs that serve this data to user-facing tools and LLM Agents. You will drive the technical goal, own complex engineering problems, and collaborate with other engineers to build highly reliable and performant systems.

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.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Mentor and guide engineers on best practices for building scalable, reliable, and maintainable systems.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Architect and implement highly scalable data pipelines for ingestion, transformation, and storage of petabytes of data. Design and build backend services and APIs that power policy enforcement and enable high-performance data access at scale.
• Collaborate with the team to define the API surface and ensure seamless integration between backend data services, user-facing tools and LLM agents. Define architectural standards and long-term technical roadmaps for the platform's data and policy infrastructure.