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Job Details
Posted date: Jun 08, 2026
Location: Kirkland, WA
Level: Director
Description
Design, develop, test, and maintain large-scale software solutions across Billing and Financial Operations (FinOps), ensuring accurate and explainable business generation for Google Cloud’s platform.Drive technical project strategy and lead high-impact initiatives, overseeing the optimization of large-scale infrastructure and the implementation of solutions for processing billions of daily transactions Manage project priorities, deadlines, and deliverables while facilitating alignment and clarity across teams on complex goals, outcomes, and timelines. Influence and coach a distributed team of engineers, driving technical excellence and professional growth across the organization. Partner regularly with Engineers and Product Managers across Billing, Financial Operations, and Google Cloud Business Platform, as well as Google Cloud Platform Service teams and other Cloud businesses.
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. 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience.8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience with design and architecture and testing/launching software products.
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. 5 years of experience in a technical leadership role leading project teams and setting technical direction for large-scale distributed systems. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Specific expertise in building high-scale business generation, billing, or FinOps platforms processing high-volume usage events.
Extended Qualifications
Bachelor’s degree or equivalent practical experience.8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience with design and architecture and testing/launching software products.