Minimum qualifications: + Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. + 10 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). + 5 years of experience working with web frameworks and the associated application/database stacks (e.g., React, Nginx, Apache, MySQL, Postgres). + 1 year of experience working with GenAI technologies (e.g., leveraging Large Language Models in application development). + Experience in technical troubleshooting, and managing internal/external partners or customers. Preferred qualifications: + Master’s degree in Engineering, Computer Science, Business, or a related field. + 10 years of experience with cloud technologies, such as architecting, developing, or maintaining cloud solutions in virtualized environments. + 10 years of experience using Machine Learning and building solutions. + 10 years of experience working with systems (e.g., Linux, Unix, Windows). + 10 years of experience in an analytical role such as business intelligence, data analytics, or statistics. The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Solutions Engineer with a core focus on Cloud Applications and Infrastructure, you are a technical storyteller who can quickly turn ideas into innovation, building engaging demos that showcase the potential of Google Cloud for our customers. Your experience in enterprise technology will be brought to bear as you take ideas from concept to high-quality demonstrations of Google capabilities. In this role, you will have knowledge of IT infrastructure, software engineering and how AI is transforming both. You will be able to plan, execute, and balance multiple projects. You will work with field teams, solutions, customers and Google Engineering teams to produce secure and scalable technical demonstrations to be delivered in high-profile forums before scaling them out to the global technical sales organization. Your work will empower a diverse audience of decision makers to adopt the Google Cloud to build what’s next for their businesses. 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 $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 (https://careers.google.com/benefits/) . + Work as part of a broader Go-To-Market team to develop engaging demonstrations of Google Cloud capabilities across AI, data, and core infrastructure addressing topics across multiple industries. + Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive partners. + Provide customer and market feedback to Product, Engineering and Marketing teams to help define product direction. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.