Staff Cloud Solutions Architect, Rapid Innovation

Google; San Francisco (CA); Hybrid; USD 177,000 - 263,000; Full time

Job summary

An established industry player is seeking a Staff Cloud Solutions Architect to drive innovation in cloud solutions for enterprise customers. This role involves collaborating with technical teams to develop scalable prototypes and facilitating workshops to enhance customer adoption of cloud technologies. With a strong focus on digital transformation, the position offers a unique opportunity to influence government and education sectors. The ideal candidate will have extensive experience in cloud design, machine learning, and customer engagement, making a significant impact in a hybrid work environment.

Qualifications

• 8 years of experience in designing cloud enterprise solutions.
• Experience in building machine learning solutions with technical customers.

Responsibilities

• Partner with customers to craft prototypes demonstrating platform possibilities.
• Lead workshops and provide technical guidance for cloud solutions.

Skills

Python

JavaScript

Machine Learning

Cloud Solutions Design

Project Management

Generative AI

Education

Bachelor's degree in Computer Science

Master's degree in Statistics or related fields

Tools

React

Job description

Staff Cloud Solutions Architect, Rapid Innovation

Join to apply for the Staff Cloud Solutions Architect, Rapid Innovation role at Google.

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

The application window will be open until at least April 30, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position, you will have the opportunity to share your preferred working location from the following:

• In-office locations: Reston, VA, Los Angeles, CA, Seattle, WA, San Francisco, CA, Sunnyvale, CA, Washington D.C., DC.
• Remote locations: California, USA; United States; Maryland, USA; Virginia, USA.

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 8 years of experience in designing cloud enterprise solutions and supporting customer projects to completion.
• Experience with coding in Python or Javascript, including data structures, algorithms, and software design.
• Experience in building machine learning solutions and working with technical customers.

Preferred qualifications:

• Master's degree in Statistics, Applied Mathematics, Computer Science, Engineering, Data Science, Analytics, or related fields.
• 10 years of experience in managing projects and working with analytics, software coding, or customer-side web technologies.
• 10 years of experience in a customer-facing role.
• Experience in designing software workflows and user interfaces that utilize Generative AI tools.
• Experience in developing with React.
• Knowledge of AI/ML business use cases, algorithms, training, tuning, inference, and pipeline design.

About The Job

In this role, you will partner as a full-stack software developer with customers and Google Cloud teams to craft prototypes demonstrating the platform's possibilities. You will translate experiments into scalable packages for market readiness and facilitate workshops to gather requirements and foster adoption of GCP.

Google Public Sector focuses on accelerating digital transformation for government and education institutions in the US, with solutions tailored for enterprise needs.

The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Salary is determined by role, level, location, skills, experience, and education. Details will be shared during the hiring process.

Responsibilities include building relationships with stakeholders, leading workshops, providing technical guidance, and developing cross-platform architectures aligned with principles of simplicity, repeatability, and consumability.

Additional Information

Google is an equal opportunity employer and values diversity. We consider qualified applicants regardless of criminal histories and are committed to providing accommodations for applicants with disabilities.