Senior Software Engineer, Distributed Systems Infrastructure, Google Ads

Experteer Overview As a Senior Software Engineer, you will help design the next generation of distributed storage, caching, and data processing architectures that underpin Google’s commercial systems. You’ll work within the Ads Data Layer infrastructure team to drive multi-year re-architectures focused on resilience, scalability, and resource efficiency. You will lead design reviews, mentor peers, and contribute to governance standards with an emphasis on AI-enabled automation. This role offers impact at scale across global ads, publishers, and advertisers. Compensation / Benefits * Design and implement next-generation distributed storage, caching, and data processing systems * Lead or participate in design reviews to select technologies for global ads data storage and scaling * Review code for testing, maintainability, and compute/memory efficiency * Contribute to documentation and educational content to share governance standards * Triage incidents, debug and resolve issues affecting hardware, network, or service operations * Drive multi-year re-architecture of core database stack to improve resilience and scalability * Pioneer integration of LLM-based autonomous systems for resource governance across the organization Tasks * Bachelor’s degree in Computer Science, Mathematics, or related technical field or equivalent practical experience * 5 years of software development experience in Java, C++, Python, or Go * 3 years of testing, maintaining, or launching software products and 1 year of software design/architecture experience * 3 years of experience with large-scale infrastructure, distributed systems, networks, or related compute/storage/database architecture * 1 year of experience with query optimization, distributed caching layers, data replication, or memory/resource efficiency tools Key requirements * bonus target * equity * benefits

Experteer Overview As a Senior Software Engineer, you will help design the next generation of distributed storage, caching, and data processing architectures that underpin Google’s commercial systems. You’ll work within the Ads Data Layer infrastructure team to drive multi-year re-architectures focused on resilience, scalability, and resource efficiency. You will lead design reviews, mentor peers, and contribute to governance standards with an emphasis on AI-enabled automation. This role offers impact at scale across global ads, publishers, and advertisers. Compensation / Benefits * Design and implement next-generation distributed storage, caching, and data processing systems * Lead or participate in design reviews to select technologies for global ads data storage and scaling * Review code for testing, maintainability, and compute/memory efficiency * Contribute to documentation and educational content to share governance standards * Triage incidents, debug and resolve issues aaaaaaaj _ hardware, network, or service operations * Drive multi-year re-architecture of core database stack to improve resilience and scalability * Pioneer integration of LLM-based autonomous systems for resource governance across the organization Tasks * Bachelor’s degree in Computer Science, Mathematics, or related technical field or equivalent practical experience * 5 years of software development experience in Java, C++, Python, or Go * 3 years of testing, maintaining, or launching software products and 1 year of software design/architecture experience * 3 years of experience with large-scale infrastructure, distributed systems, networks, or related compute/storage/database architecture * 1 year of experience with query optimization, distributed caching layers, data replication, or memory/resource efficiency tools Key requirements * bonus target * equity * benefits