Staff Cloud Solutions Architect, Rapid Innovation

About the position

As a Staff Cloud Solutions Architect on the Google Public Sector Rapid Innovation team, you will partner as a full stack software developer with customers and other Google Cloud Platform (GCP) teams across Google Public Sector and Google Cloud to craft the development of prototypes to architect and demonstrate what is possible with customers via the GCP platform. You will be responsible for taking the experiments developed and translating them into consumable, repeatable, and scalable packages that can be taken to market by the Google Public Sector Go-To-Market (GTM) team. In this role, you will be responsible for facilitating cross-functionally internally and externally with customers through supporting workshops (e.g., design thinking, solutions workshops) to gather requirements and help build success criteria and a roadmap for sustained adoption of the GCP platform. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Responsibilities

• Build and maintain relationships with senior cross-functional key stakeholders in customer or partner organizations to deliver or manage quality technical solutions and services.
• Lead customer-facing solutions workshops to gather requirements that deliver back to the customer a plan of record for the customer to follow.
• Collaborate with cross-organizational stakeholders and within their respective process life-cycle to provide technical guidance, or identify possible existing/new technical solution offerings to help shape outcomes.
• Develop architectures that include cross-platform technologies to be incorporated into subscription agreements, and take a mission-oriented approach using the guiding principles of simplicity, repeatability, and consumability.

Requirements

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in system design or one of the programming languages (e.g., Java, C++, Python, etc.).
• 7 years of experience as a software development engineer in cloud computing or equivalent experience in a customer-facing role.

Nice-to-haves

• Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
• 10 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
• 10 years of experience in a customer-facing role.
• Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
• Knowledge of AI/ML related engineering from business use case to algorithm selection, training, tuning, inference, and training pipeline design and build.

Benefits

• Base salary range of $177,000-$263,000 + bonus + equity + benefits.