Senior Software Engineer, Distributed Systems Infrastructure, Google Ads

Google•Apply•Published 7 hours ago•First seen 6 hours ago

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.

Google Ads is the programmatic engine and data bedrock that powers businesses and connects customers globally. As a Senior Software Engineer on the Ads Data Layer ADL Infrastructure team, you will design the next generation of distributed storage, caching, and data processing architectures that underpin Google’s commercial systems.

Due to global infrastructure capacity constraints, this team’s mandate has evolved beyond standard resource optimization. You will lead a critical, multi-year re-architecture of the core database stack to ensure operational resilience and business continuity. This involves redesigning how the platform manages replication, caching, and redundancy to scale sustainably while minimizing resource consumption. Additionally, you will pioneer the integration of LLM-based autonomous systems to automate and enforce resource governance across the organization.

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.

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

Learn more about benefits at Google.

Responsibilities

Write and test product or system development code in Java, C++, Python, or Go to design and implement efficient, next-generation distributed caching and database architectures.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies for global Ads data storage and scaling systems.
Review code developed by other developers and provide feedback to ensure best practices regarding testing, maintainability, and compute/memory resource efficiency.
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback to share resource governance standards.
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.

Minimum qualifications:

Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
5 years of experience with software development in one or more programming languages, such as Java, C++, Python, or Go.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or database architecture.
1 year of experience with query optimization, distributed caching layers, data replication, or memory/resource efficiency measurement tools.

Preferred qualifications:

Master's degree or PhD in Computer Science, Mathematics, or a related technical field.
5 years of experience with data structures, algorithms, and query optimization techniques in a large-scale data storage environment.
1 year of experience in a technical leadership role, leading architectural design discussions, mentoring developers, and guiding cross-functional database efficiency initiatives.
Experience developing accessible technologies or engineering highly reliable, planet-scale systems that support global, various advertiser and publisher populations.
Experience with modern database engines (e.g., Spanner, cloud database platforms) and developing Generative AI applications or LLM-based orchestration frameworks.