{"id":2481718,"url":"https://alion.io/job/google-software-engineer-agentic-infrastructure-for-data-engineering","title":"Software Engineer, Agentic Infrastructure for Data Engineering","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":116,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":118000,"max_usd":262000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":330},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"Google Cloud Spanner","optional":true},{"name":"LLM","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-10-13T21:11:51Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T20:29:32Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nIn this role, you will help build the agent ecosystem: the primitives, guardrails, and knowledge integrations that enable data agents to author and operate autonomously, including validating impact, safety, and reversibility before any change is applied. As a part of this, data engineering agents on Google Cloud earn autonomy, and practitioners ship production pipelines without babysitting the automation.\nBuilding agents is table stakes. Making them safe to run unattended is not.\n\"Agents you don't have to watch.\"\nGoogle Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nWrite product or system development code.\nParticipate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\nReview code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\nContribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\nTriage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or 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