Solutions Architect, Google Cloud

About the Solutions Architect, Google Cloud Role

As a Solutions Architect, Google Cloud at Google, you will play a crucial role in collaborating with customers and internal Engineering teams. Your primary responsibility will be to design and build secure, scalable technical solutions leveraging Google Cloud technologies. You will be instrumental in sharing these innovations through various channels including white papers, open-source repositories, webinars, blogs, and live events, demonstrating your passion for technology and problem-solving.

This position involves working across diverse industries, helping customers optimize their unique business use cases. A key aspect of your role includes creating deployable technical assets that facilitate the secure integration of Google Cloud with other technologies. You will regularly present these solutions to clients and represent Google at industry events. Furthermore, you will work closely with Product and Engineering teams, providing valuable customer insights to enhance product adoption and reduce friction.

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.

Key skills/competency

• Cloud Architecture
• Google Cloud Platform
• AI/ML Infrastructure
• High-Performance Computing (HPC)
• Python Programming
• Infrastructure as Code (IaC)
• TensorFlow/PyTorch/Jax
• Kubernetes/Slurm
• Machine Learning Operations (MLOps)
• Customer Engagement