{"id":4082219,"url":"https://alion.io/job/google-staff-software-engineer-core-code-search","title":"Staff Software Engineer, Core, Code Search","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":131,"ghost_share":0.038,"stale_share":0.756,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-11T13:38:30Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T17:46:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nGoogle'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.\nWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\nThe Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities\nDefine 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.\nArchitect, 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.\nDrive technical alignment across organizational boundaries (Developer Infrastructure, AI Agent platforms, Integrated Development Environment (IDE) surfaces, and Research) to land complex, cross-cutting architectural initiatives.\nMentor and grow senior and junior engineers, setting a high bar for system reliability, performance engineering, and experimental excellence across the team.\nProvide technical leadership on high-impact projects.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n8 years of experience in software development.\n5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.\nExperience with computer science (e.g., data structures, algorithms, software design).\nExperience in Search and information retrieval.\nExperience with low-level systems programming languages (e.g., C++ or C).\nPreferred qualifications:\nMaster’s degree or PhD in Engineering, Computer Science, or a related technical field.\nExperience architecting high-throughput, low-latency search, retrieval, or applied AI/ML systems.\nExperience in information retrieval and search infrastructure, including inverted or trigram indices, learning-to-rank, and real-time incremental indexing.\nExperience building retrieval and context-selection systems for LLM-powered 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