About the job

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.

The Google Cloud Professional Services Product Works practice is responsible for designing, developing, and testing prototypes and Minimum Viable Products (MVPs) of new software products in collaboration with Google’s innovative customers. As a strategic Cloud Engineer, you will build prototypes and MVPs for customer projects alongside engineers, User Experience (UX) designers/researchers, and product managers. This team uses rapid iteration techniques such as the design sprint method and other approaches to create value for customers that are on their innovation journey with Google.

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 $127,000-$183,000 + 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.

Responsibilities

• Design and develop rapid prototypes and Minimum Viable Products (MVPs) for Google Cloud customers, leveraging a variety of technologies and frameworks to address business issues.

• Collaborate with customers to understand their unique needs, translate technical requirements into solutions, and ensure alignment with their objectives.

• Lead and execute rapid iteration methodologies, including Design Sprints and other agile approaches, to accelerate product development and deliver value.

• Provide technical guidance and consultation to customers on best practices for building production-grade software solutions on Google Cloud.

• Travel approximately 30% of the time to customer sites for on-site collaboration and engagements.

Minimum qualifications

• Bachelor's degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.

• 3 years of experience designing cloud enterprise solutions.

• 1 year of experience supporting customer projects to completion.

• Experience writing software in one or more programming languages (e.g., Java, Python, Go, JavaScript, C++, or similar).

• Experience with deployment of application microservices in one or more cloud environments.

Preferred qualifications

• 5 years of experience designing, building, and deploying software systems.

• 2 years of experience delivering customer workshops to validate user needs and provide technical solutions.

• Experience leveraging containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, GKE) to design production-grade microservice architectures.

• Experience with networking technologies (e.g., Load Balancers, Firewalls) and web standards (e.g., REST APIs, gRPC, OAuth, SAML, web security mechanisms).

• Experience with cloud storage solutions, SQL/NoSQL datastores, and distributed computing technology (e.g., MySQL, Cassandra, MongoDB, Hadoop, Redis, Elasticsearch/Solr).