info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA. Minimum qualifications: 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. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. Experience developing accessible technologies. Experience with data processing and data analytics. About the job 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. Join the Gemini Enterprise App Observability and Analytics team! We are the 'lens' through which Google Cloud understands generative AI adoption, reliability, and business impact. 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 Software Engineer on this team, you will design robust, compliant pipelines managing 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 - $253000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Design, build, and maintain highly scalable batch and streaming data pipelines and orchestration to ingest, transform, and load data from enterprise sources. Develop robust warehousing and storage solutions, advocating schema design and data modeling best practices to power search, analytics, and AI models. Implement data governance, quality monitoring, and alerting systems while ensuring strict compliance with security, access control, and wipeout policies. Partner closely with Data Scientists, Product Managers, and Software Engineers to deliver the data infrastructure required to unlock new features and product capabilities. Optimize data flows to achieve the ideal balance of cost-efficiency, data freshness, and resource utilization.