Technical Solutions Engineer, Cloud Data and AI

The Google Cloud Platform team helps customers transform and build what's next for their business with cloud technology. The team supports developers, businesses, educational institutions, and government agencies globally, focusing on security, reliability, and scalability. The role involves being part of a global team providing 24x7 support to help customers transition to Google Cloud.

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 2 years of experience programming in a general-purpose coding language or in system design and troubleshooting, advocating for customer needs, and triaging technical issues.
• 2 years of experience with two or more of the following: Web Technologies, Data/Big Data, Systems Administration, Machine Learning, Networking, or Kubernetes.
• Experience in Computer Networking (e.g., Firewalls, Routing, Load balancing), web technologies (e.g., HTTP, HTML, DNS, TCP), and artificial intelligence (AI) concepts and techniques.

Preferred qualifications:

• 2 years of experience in recommendation systems, natural language processing, speech recognition, or computer vision.
• Experience troubleshooting ML models (e.g., Tensorflow, Keras, PyTorch).
• Experience working with public cloud services and infrastructure and working with networking/peering with private cloud.
• Experience with performance analysis of containerized systems and good understanding of underlying resources like Kubernetes, compute resources.
• Effective leadership and influencing skills in AI/ML application, with the ability to lead the design and implementation of AI-based solutions, web services, debugging tools.

• Work with customers on their ML deployments to resolve issues and achieve production readiness, availability, and scale.
• Partner with Product and engineering teams to improve products based on customer feedback.
• Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.
• Develop an in-depth understanding of Google Cloud’s AI/ML products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools for faster diagnosis.
• Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Work as part of a team of engineers/consultants that globally ensure 24-hour customer support, including working non-standard work hours/shifts, and may include weekend work.

This role requires working in a shift pattern or non-standard work hours as required, which may include weekend work.

Google is an equal opportunity workplace and affirmative action employer committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Qualified applicants are considered regardless of criminal histories, consistent with legal requirements.