Google Cloud Customer Engineer

Evonence LLC; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

Evonence LLC is seeking a Google Cloud Customer Engineer for a full-time remote position. In this role, you'll design solution architectures, optimize infrastructure, and integrate systems, leveraging extensive experience in Google Cloud technologies. Ideal candidates will have over 7 years in tech solutions, including cloud architecture and AI/ML implementations.

Qualifications

• 7+ years of experience implementing technological solutions.
• 5+ years of experience with Google Cloud AI / ML products, and strong hands-on experience with Agentic AI Google Stack.
• 5+ years of hands-on experience in application architecture.

Responsibilities

• Designing solution architectures and optimizing infrastructure.
• Developing software solutions and integrating systems.
• Creating and implementing architectures to meet client needs.

Skills

Cloud architecture design

Google Cloud AI / ML products

Application architecture

Client management

Google Cloud Platform Infra Services

Automation technologies

Tools

Terraform

Google Cloud Deployment Manager

Job description

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Evonence is a Google Cloud partner company founded in 2014, specializing in providing Google Cloud solutions in the mid-market across North America. With a customer base of over 1000 clients, Evonence offers deep technical expertise in Google Workspace, Google Cloud infrastructure migrations, and Google Cloud app modernization. The company's solutions range from Google Workspace deployment, migration, and training to Google Cloud infrastructure migrations and app modernization capabilities.

Role Description

This is a full-time remote role for a Google Cloud Customer engineer at Evonence. The role involves designing solution architectures, optimizing infrastructure, developing software solutions, and integrating systems. The Consulting Architect will focus on creating and implementing effective architectures to meet client needs.

Qualifications

• 7+ years of experience implementing technological solutions, including knowledge of cloud architecture design, evaluation, and research
• 5+ years of experience with Google Cloud AI / ML products is must- Vertex AI, Gemini, CCAI, solution design and implementation for mid market to enterprise clients.
• Strong hands on experience with Agentic AI Google stack.
• 5+ years of hands-on experience in application architecture, with a focus on creating scalable and reliable software systems that make use of contemporary software stacks and DevOps techniques
• 5+ years of experience managing clients and/or projects
• 5+ years of experience using Google Cloud Platform (GCP) Infra Services - Migration, Modernization, GKE, Cloud Run
• 2+ years of experience using Google Cloud Platform Data Services, Big Query, Looker, DataFlow, Google Analytics
• Experience with automation technologies, Terraform, or Google Cloud Deployment Manager

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

• Industries

  IT Services and IT Consulting

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