Staff Cloud Solutions Architect, Rapid Innovation

Google; Los Angeles (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. This role involves collaborating with clients to develop prototypes and demonstrate the capabilities of the Google Cloud Platform. You will lead workshops, gather requirements, and provide technical guidance to ensure successful project outcomes. The ideal candidate will have extensive experience in cloud enterprise solutions, coding, and machine learning, making a significant impact on the digital transformation of government and education sectors. Join this dynamic team and be part of shaping the future of cloud technology.

Qualifications

• 8+ years of experience in cloud solutions and customer projects.
• Experience in coding with Python or JavaScript, focusing on software design.

Responsibilities

• Build relationships with stakeholders to deliver quality solutions.
• Lead workshops to gather requirements and create actionable plans.

Skills

Cloud Enterprise Solutions Design

Python Coding

JavaScript Coding

Machine Learning Solutions

Project Management

Education

Bachelor's degree in Computer Science

Master's degree in Statistics or related fields

Tools

React Development

Generative AI Tools

Job description

Staff Cloud Solutions Architect, Rapid Innovation

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

This role requires US citizenship to meet customer and compliance requirements, including access to classified information. The application window is open until at least April 30, 2025, and may close earlier or later based on business needs.

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

Google’s hybrid workplace includes remote and in-office roles in locations such as Reston, VA; Los Angeles, CA; Seattle, WA; San Francisco, CA; Sunnyvale, CA; Washington D.C., DC, and remote options in California, Maryland, and Virginia.

Minimum qualifications

• Bachelor's degree in Computer Science or equivalent practical experience
• 8 years in designing cloud enterprise solutions and supporting customer projects
• 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 managing projects and working with analytics, software coding, or web technologies
• 10 years in a customer-facing role
• Experience designing software workflows and UIs integrating Generative AI tools
• Experience with React development
• Knowledge of AI/ML business use cases, algorithms, training, tuning, inference, and pipeline design

About The Job

Partner as a full-stack developer with customers and Google Cloud teams to craft prototypes and demonstrate GCP platform capabilities. Translate experiments into scalable packages for market, and facilitate workshops to gather requirements and foster adoption within the public sector.

Google Public Sector focuses on digital transformation for government and education institutions, helping accelerate their modernization efforts.

Salary and Benefits

The US base salary range is $177,000-$263,000 plus bonus, equity, and benefits. Salary is role, level, and location-dependent. Specifics will be shared during hiring.

Responsibilities

• Build relationships with stakeholders to deliver quality solutions
• Lead workshops to gather requirements and create plans
• Provide technical guidance and shape outcomes
• Develop architectures using cross-platform technologies with simplicity, repeatability, and consumability in mind

Google is an equal opportunity employer and provides accommodations for applicants with disabilities. More details are available in Google's EEO Policy and the Accommodations form.