Description

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 with backend infrastructure development using C (or similar high-performance languages).
• 3 years of experience in software design, architecture, and development of large-scale distributed systems.
• Experience building and maintaining data processing pipelines or high-throughput database systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
  
• Experience architecting platforms capable of managing high-volume workloads and low-latency data ingestion.
• Experience leading the modernization of legacy infrastructure, specifically optimizing for performance, reliability, and reduced technical debt.
  
• Experience with distributed SQL databases, complex query optimization, and indexing strategies.
• Experience in safety, abuse-fighting, trust, or integrity systems, particularly in an ads or large-scale ecosystem.
• Experience leading complex technical projects that require alignment across multiple cross-functional engineering and product teams.

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.

Ads Safety's Analyst Empowerment (AE) team is transforming reactive workflows into a proactive, Agent-first ecosystem to protect billions of users and drive growth. In this role, you will architect a modular platform where human intelligence and Generative AI collaborate seamlessly. Your work will power the "Technical Engine" behind critical tools like AART, Explorer, Enforcement Manager, and Classifier Infrastructure. Join us to handle issues at scale and ensure a safe, trustworthy ads ecosystem for users, advertisers, and publishers worldwide.
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 $174,000-$252,000 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

• Lead the design of the Artificial Intelligence F1 (AIF1) on F1 high-throughput analytics warehouse, optimizing for real-time ingestion and massive scale to drive global analysis.
  
• Enhance the cascading style sheets (CSS) application programming interface (API) to support rule mutation, automated lifecycle management, and artificial intelligence (AI)-driven enforcement integration as the gatekeeper for programmatic enforcement.
  
• Architect large-scale indexing infrastructure, including entity search and spanner-based indices, to deliver sub-second lookups and high-precision impact analysis.
  
• Implement large-scale Spanner and F1 solutions alongside bring your own object (BYOO) infrastructure a 100k write queries per second (QPS) platform to ensure high-precision, low-latency decision-making.
  
• Partner with leadership to translate strategic visions into technical roadmaps; lead design reviews and mentor engineers to foster innovation.

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Requisition #: 103062821167604422

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