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: Sunnyvale, CA, USA; Kirkland, WA, USA; Seattle, WA, USA. Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++. 5 years of experience with design and architecture; and testing/launching software products. 5 years of experience with serverless computing concepts and technologies on public cloud platforms (e.g., Google Cloud Run, Cloud Functions, App Engine, Kubernetes). Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience in a technical leadership role leading project teams and setting technical direction. Experience with API design, multi-tenancy, containerization, and security in cloud environments. Experience in infrastructure for AI workloads. Ability to contribute to open-source Serverless projects (e.g., Knative). 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. Cloud Run is Google Cloud Platform's premium Serverless platform for running applications. Cloud Run is used by enterprises of all sizes to run mission critical systems. More recently, we have seen an exponential growth from AI-generated apps running on Cloud Run that are deployed using first-party products such as Gemini, Google AI Studio, Firebase, Colab and by the wider AI-assisted developer tooling ecosystem. Our team is shipping innovative platform features to help accelerate the on-boarding of new developers to run modern applications and highly capable AI agents. 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 + equity + benefits Learn more about benefits at Google. Responsibilities Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Oversee architectural strategy and the rollout of core back-end services for Cloud Run, primarily emphasizing the data plane to support the evolving needs of AI workloads and agents. Collaborate with executive product and engineering leadership to define and realize a long-term goal for stack modernization and platform sustainability. Drive operational excellence by identifying and executing systematic enhancements to platform health.