Jobs · Engineering · California

Senior Software Engineer, Infrastructure, Ads Safety

Google · Mountain View, CA · 1 mo ago
On-siteEngineeringFull-time

About the role

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.

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.

Requirements

  • 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.

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.

Skills

  • 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.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Pay

$174000 - $252000 (USD) + 15% bonus target + equity + benefits

Schedule

N/A

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