{"id":4156114,"url":"https://alion.io/job/google-staff-software-engineer-eval-infra-tl-quality-platform-gemini-cloud-operator-agentic-ai","title":"Staff Software Engineer, Eval Infra TL, Quality Platform, Gemini Cloud Operator, Agentic AI","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":0.763,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"QA","role_family":"QA","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":["Sunnyvale, United States"],"countries":["US"],"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":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemini","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-12T09:06:37Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T10:38:29Z","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.\nGemini Cloud Assist is designed to simplify how customers learn, design, deploy, and operate their services. Our vision is to establish an intelligent AI agent as the primary interface for cloud operations, integrating seamlessly across the Cloud Console, IDEs, and other developer surfaces. This role focuses on the Quality Flywheel, a foundational platform at the core of our AI quality strategy. You will build the end-to-end system that drives our agent’s continuous, automated improvement. This involves analyzing user interactions, implementing real-time evaluations to detect successes and failures, generating high-quality evaluation data, and creating feedback loops that drive model self-improvement and fine-tuning. Your work will directly contribute to making Gemini the leading model for cloud operational tasks, ensuring it delivers exceptional performance and reliability for our customers.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nServe as overall Tech Lead for the Quality Platform, architecting core Quality Flywheel components and scalable ML infrastructure.\nLead mission-critical efforts, including Gemini simulation, deep system integrations, eval generation, and next-gen eval infrastructure.\nEstablish and scale testing and reliability frameworks to ensure high platform quality and performance at scale.\nCollaborate across teams to translate complex, ambiguous requirements into simple, robust engineering solutions.\nMentor engineers, strengthen team culture, and drive production stability through on-call rotations and environment improvements.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n8 years of experience in software development.\n5 years of software engineering leadership in ML Infrastructure, ML, or product-focused AI.\n5 years of experience with large-scale distributed systems. \nExperience with Generative AI lifecycle, including Agent frameworks or protocols (e.g., MCP, A2A), RAG, prompt engineering, or model evaluation systems.\nPreferred qualifications:\nMaster’s degree or PhD in Engineering, Computer Science, or a related technical field.\n8 years of experience with data structures and algorithms.\n3 years of experience in a technical leadership role leading project teams and setting technical direction.\n3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.\nExperience architecting or contributing to simulation frameworks, evaluation 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