GCP Architect

Ethereum Technologies; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies in the United States seeks a senior cloud architect to own the GCP solution and drive the technical direction of a cloud-native platform.

You will design GCP-native PaaS architectures, guide engineering on security, scalability and deployment, and provide hands-on leadership to deliver the initial demo.

Qualifications

• Strong hands-on experience with Google Cloud Platform (GCP).
• Experience designing solutions using GCP-native PaaS / managed services.
• Strong cloud solution architecture experience.
• Experience working with Google Cloud AI capabilities/services.
• Experience designing integrations between cloud services and applications.
• Ability to provide hands-on technical leadership in a fast-moving project.
• Strong communication and stakeholder collaboration skills.

Responsibilities

• Own the overall GCP solution architecture and technical direction.
• Design a cloud-native architecture using appropriate GCP PaaS and managed services.
• Identify opportunities to use Google Cloud AI services within the solution.
• Guide the engineering team on GCP architecture, integration, security, scalability, and deployment considerations.
• Recommend GCP-native approaches rather than relying primarily on generic container-based solutions.
• Collaborate with consulting and application teams as the frontend/backend requirements become clearer.
• Provide hands-on technical leadership to help deliver the initial demo.

Skills

GCP

GCP-native PaaS

Cloud architecture

Google Cloud AI

Integrations

Hands-on leadership

Communication

Tools

Terraform

IAM

Secret Manager

BigQuery

Cloud Run

API Gateway

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• Own the overall GCP solution architecture and technical direction.
• Design a cloud-native architecture using appropriate GCP PaaS and managed services.
• Identify opportunities to use Google Cloud AI services within the solution.
• Guide the engineering team on GCP architecture, integration, security, scalability, and deployment considerations.
• Recommend GCP-native approaches rather than relying primarily on generic container-based solutions.
• Collaborate with consulting and application teams as the frontend/backend requirements become clearer.
• Provide hands-on technical leadership to help deliver the initial demo.

Required Skills

• Strong hands‑on experience with Google Cloud Platform (GCP).
• Experience designing solutions using GCP‑native PaaS / managed services.
• Strong cloud solution architecture experience.
• Experience working with Google Cloud AI capabilities/services.
• Experience designing integrations between cloud services and applications.
• Ability to provide hands‑on technical leadership in a fast‑moving project.
• Strong communication and stakeholder collaboration skills.

Preferred / Relevant GCP Experience

Candidates with practical experience across several of the following would be particularly relevant:

• Vertex AI / Generative AI on Google Cloud
• Cloud Run
• Cloud Functions
• API Gateway / Apigee
• Pub/Sub
• Cloud Storage
• BigQuery
• Cloud SQL / Firestore
• IAM and service accounts
• Secret Manager
• Cloud Logging / Cloud Monitoring
• Terraform or equivalent Infrastructure as Code

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.