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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Data Engineering, Cloud AI - **Company:** Google LLC - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $174,000.0 - $252,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Information Engineering, Data Infrastructure, Data Structures, Data Warehousing, Distributed Systems, Design of User Interfaces, Push Technology, Information Retrieval, Natural Language Processing, Software Architecture, Search Technologies, Software Engineering, Data Streaming, Systems Architecture, Google Cloud, Data Storage Technologies, Information Technology, Search Engines, Programming Languages - **Published:** September 2, 2026 - **Apply:** https://dejobs.org/x/x/152230311B6C40A7961EE86C3134A558/job/ ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree or equivalent practical experience. * 5 years of experience with software development in one or more programming languages. * 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture., * Master's degree or PhD in Computer Science or related technical field. * 5 years of experience with data structures and algorithms. * 1 year of experience in a technical leadership role. * Experience developing accessible technologies. ## Description Google'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. Our team builds the critical data infrastructure, log processing engines, and automated experimentation pipelines that power our executive dashboards and guide product strategy. As a Senior Data Engineer on this team, you will design robust, compliant pipelines handling massive datasets and transition raw log signals into real-time metrics. You will directly influence how our customers measure their AI investment and how our engineering teams validate their feature rollouts. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits, * Design, build, and maintain scalable batch and streaming data pipelines to ingest and transform enterprise data into Gemini Enterprise. * Develop high-performance data warehousing and storage systems optimized for AI models, search capabilities, and analytics. * Implement data quality monitoring, alerting, and governance to uphold strict integrity, privacy, access controls, and compliance standards. * Partner with SWEs, PMs, and Data Scientists to deliver robust infrastructure that powers new product features and AI capabilities. * Optimize pipelines for cost, latency, and resource usage while driving best practices in data modeling, schema design, and orchestration. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Writing a full-text search engine in TypeScript](https://www.wearedevelopers.com/videos/504-writing-a-full-text-search-engine-in-typescript) - [A Computer Is All You Need](https://www.wearedevelopers.com/videos/100142-a-computer-is-all-you-need) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Got AI ideas but no money? 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