Customer Engineer, Infrastructure Modernization, Google Cloud at Google

About the job

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
• Experience as a technical sales engineer in a cloud computing environment or equivalent experience in a customer-facing role
• Experience in one of the following: cloud migration, disaster recovery, and application/servers assessment and discovery
• Experience in data center architectures and components

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field
• Experience in advanced areas of networking, including Linux, software-defined networking, network virtualization, open protocols, application acceleration and load balancing, DNS, and virtual private networks/their application to PaaS and IaaS technologies
• Experience with public cloud platforms, including infrastructure, storage platforms
• Experience with deployment methodologies and technologies (CI/CD, Chef, Puppet, Ansible, etc.)
• Experience with Linux system administration and/or enterprise applications
• Experience in advanced security (e.g., Authentication Protocols, Identity and Access Management Systems, etc)

Responsibilities

• Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions, leveraging technical abilities.
• Work with the team to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
• Manage the technical relationship with customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
• Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
• Recommend migration strategies, enterprise architectures, migration tools, and cloud infrastructure required to successfully implement a complete solution using best practices on Google Cloud.