Google's Ads Safety team needs to provide essential infrastructure and tools to empower analysts to safeguard users and ensure Google Ads safety through evolving capabilities. This involves leading core data and policy enforcement infrastructure, architecting and scaling the full-stack from data ingestion and processing to backend services and APIs, and driving technical goals to own complex engineering problems and build highly reliable and performant systems.
Requirements
- designing and building back-end systems including serverless and Service-Oriented Architecture (SOA) architectures.
- software design and architecture with programming languages such as C++, Python or Java.
- big data systems and database optimizations and distributed systems.
- 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.
- modern frontend frameworks (e.g., React, Angular) and front-end/backend integration.
- distributed computing and big data technologies (e.g., Apache Spark, Hadoop).
Responsibilities
- 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.
- Drive the technical goal, own complex engineering problems, and collaborate with other engineers to build highly reliable and performant systems.
- 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.
Other
- 5 years of experience in back-end, data, or infrastructure engineering
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
- 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.
- Collaborate with the team to define the API surface and ensure seamless integration between backend data services, user-facing tools and LLM agents.
