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Job Details
Posted date: Mar 17, 2026
Location: Seattle, WA
Level: Director
Estimated salary: $253,500
Range: $207,000 - $300,000
Description
Analyze representative customer and test workflows, ensuring appropriate workflow coverage. Design tooling responsible for categorization and forecasting of cloud capacity needs across growing test infrastructure. Apply machine learning (ML) strategies to right-size test pools based on demand and capacity while predicting demand spikes.Build artificial intelligence (AI) agents, tools, and skills that help influence Gemini to solve BigQuery problems.
Own the technical goal, scoping, and outcomes for artificial intelligence/machine learning (AI/ML)-driven infrastructure projects, proactively identifying scaling bottlenecks and future work.
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
BigQuery is a serverless, massive scale, and multi-engine data analytics platform. It supports a wide range of data analytics use cases including reporting, business intelligence, data pipelines, and data marts and is used across nearly all enterprise sectors including retail, finance, technology, and gaming. We have a thousand customers and store Exabytes of data.
In this role you will be responsible for delivering the platform used by BQ's engineers to validate and release the product, along with developing production systems to mitigate and prevent customer incidents.
Google 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.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture.Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience working in an organization involving cross-functional, or cross-business projects. 3 years of experience in a technical leadership role leading project teams and setting technical direction.