Define and drive the multi-year architectural goal and technical roadmap for Google’s Code Search platform across lexical search, real-time incremental indexing, and agentic code discovery.
Architect, scale, and evolve high-throughput, low-latency indexing and query-serving infrastructure capable of supporting massive repository scale, near-real-time freshness, and rapidly growing workloads from autonomous AI agents.
Drive technical alignment across organizational boundaries (Developer Infrastructure, AI Agent platforms, Integrated Development Environment (IDE) surfaces, and Research) to land complex, cross-cutting architectural initiatives.
Mentor and grow senior and junior engineers, setting a high bar for system reliability, performance engineering, and experimental excellence across the team.
Provide technical leadership on high-impact projects.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
Experience with computer science (e.g., data structures, algorithms, software design).
Experience in Search and information retrieval.
Experience with low-level systems programming languages (e.g., C++ or C).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience architecting high-throughput, low-latency search, retrieval, or applied AI/ML systems.
Experience in information retrieval and search infrastructure, including inverted or trigram indices, learning-to-rank, and real-time incremental indexing.
Experience building retrieval and context-selection systems for LLM-powered coding agents using retrieval evaluation.
Experience driving technical strategy and alignment across developer infrastructure, machine learning, and product teams.
Experience exploring technical directions, rapidly prototyping, and evaluating opportunities across latency, freshness, relevance, and token efficiency.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
Experience with computer science (e.g., data structures, algorithms, software design).
Experience in Search and information retrieval.
Experience with low-level systems programming languages (e.g., C++ or C).
