Solutions Architect, Google Cloud
Job Overview
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Job Description
About the Job
As a Solutions Architect, Google Cloud, you will collaborate with customers and internal Engineering teams to design and build secure, scalable technical solutions. You will share these innovations across multiple channels, including white papers, open-source repositories, webinars, blogs, and live events. Your passion for technology, continuous learning, and problem-solving—combined with strong communication skills—will empower decision-makers to confidently adopt Google Cloud and drive their businesses forward.
Working across various industries, you will help customers optimize their unique business use cases. A key part of your role involves creating deployable technical assets that allow customers to securely integrate Google Cloud with other technologies. You will regularly present these solutions to clients and represent Google at industry events. Additionally, you will partner closely with Product and Engineering teams, relaying valuable customer insights to reduce friction and accelerate product adoption.
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.
Minimum Qualifications
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 7 years of experience with cloud infrastructure (hardware shapes, sizes, auto-scaling, auto-provisioning, etc.), working with infrastructure as a service, platform as a service, or software as a service.
- Experience with coding in Python or equivalent, scripting, infrastructure as code (IaC), and using OSS frameworks such as TensorFlow, PyTorch, Jax, etc.
- Experience with scientific computing/HPC technologies, including orchestrators such as Slurm, Kubernetes, or Cluster Toolkit.
- Experience building and operationalizing machine learning models.
Preferred Qualifications
- Master's degree in Computer Science, a related engineering field, or equivalent work experience in a software/systems engineering or lead position.
- Experience with automation frameworks and tools to accelerate adoption, consistency and auditability.
- Experience with AI/ML related frameworks to execute customer use cases across training to inference.
- Experience architecting core cloud services, compute, storage, and networking to support customer use cases and requirements.
- Experience designing, building, and managing complex applications and large-scale AI compute clusters on Google Cloud.
Responsibilities
- Provide subject matter expertise around HPC and AI/ML infrastructure, and effectively promote Google Cloud with customers, at conferences, and online.
- Create and deliver technical assets for solutions such as best practice recommendations, tutorials, blog posts, sample code, and presentations adapted for technical and business stakeholders.
- Support account managers and Cloud Sales Engineering teams as needed through all phases of customer engagement.
- Provide customer and market feedback to Product and Engineering teams to help shape product direction.
- Facilitate deep technical discussions with customers, partners, and Googlers.
Compensation and Benefits
The US base salary range for this full-time position is $177,000-$263,000 + 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.
Key skills/competency
- Cloud Architecture
- AI/ML Infrastructure
- High-Performance Computing (HPC)
- Python Programming
- Infrastructure as Code (IaC)
- TensorFlow/PyTorch
- Kubernetes/Slurm
- Solution Design
- Technical Consulting
- Customer Engagement
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience with cloud infrastructure, AI/ML, HPC, and Google Cloud services, using keywords from the job description.
- Showcase technical depth: Prepare to discuss your expertise in Python, IaC, OSS frameworks like TensorFlow, and orchestrators such as Kubernetes, demonstrating practical application.
- Emphasize problem-solving: Be ready to present scenarios where you've designed and implemented secure, scalable solutions, especially involving Google Cloud and customer-centric problem-solving.
- Network effectively: Connect with current Google Cloud Solutions Architects on LinkedIn to gain insights into the role and company culture.
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