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Staff Cloud Solutions Architect, Rapid Innovation

Google

Maryland

Hybrid

USD 177,000 - 263,000

Full time

11 days ago

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Job summary

An innovative firm is seeking a Staff Cloud Solutions Architect to lead the design of cloud enterprise solutions and support customer projects. This role involves collaborating with customers and Google Cloud teams to craft prototypes, translating experiments into scalable packages, and driving the adoption of GCP solutions. The ideal candidate will possess extensive experience in cloud technologies, coding, and machine learning, and will thrive in a hybrid work environment that fosters creativity and innovation. Join a team dedicated to accelerating digital transformation for government and educational institutions, while enjoying a competitive compensation package.

Qualifications

  • 8+ years of experience in designing cloud solutions and customer support.
  • Strong coding skills in Python and JavaScript with focus on algorithms.

Responsibilities

  • Build relationships with stakeholders to deliver technical solutions.
  • Lead workshops to gather requirements and develop technical 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
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 a US citizen to meet customer and compliance requirements, including potential access to classified information. The application window is open until at least April 30, 2025, with the position remaining online based on business needs.

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

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

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.
  • 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, analytics, software coding, or customer web technologies.
  • 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, and pipeline design.
About The Job:

You will partner as a full stack developer with customers and Google Cloud teams to craft prototypes and demonstrate possibilities with GCP. You will translate experiments into scalable packages, support workshops, and help drive adoption of GCP solutions.

Google Public Sector focuses on helping government and educational institutions accelerate digital transformation, with a focus on complex needs across various levels of government.

Compensation:

US base salary range: $177,000-$263,000 + bonus + equity + benefits. Exact salary depends on location, skills, experience, and education.

Responsibilities:
  • Build and maintain relationships with stakeholders to deliver technical solutions.
  • Lead workshops to gather requirements and develop plans.
  • Provide technical guidance and identify solution offerings.
  • Develop architectures using cross-platform technologies, focusing on simplicity and scalability.

Google is an equal opportunity employer and provides accommodations for applicants with disabilities. For more details, see Google's EEO Policy and EEO is the Law.

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