GCP Architect

Robotic Technologies Automation; Tampa (FL); On-site; USD 120,000 - 190,000; Full time

Job summary

Robotic Technologies Automation is seeking a hands-on GCP Architect to own the overall cloud solution and steer the technical direction for a cloud-native design using GCP PaaS and managed services. Lead the engineering team on architecture, security, scalability, and deployment while promoting GCP-native approaches.

You will drive collaboration with consulting and application teams and help deliver the initial demo.

Qualifications

• Experience designing cloud-native solutions on GCP.
• Strong communication and stakeholder collaboration skills.
• Ability to provide hands-on technical leadership in a fast-moving project.
• Experience designing integrations between cloud services and applications.

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 expertise

Cloud architecture

AI capabilities

Security & IAM

Scalability

Leadership

Tools

Vertex AI

Cloud Run

Cloud Functions

API Gateway

Pub/Sub

BigQuery

Cloud Storage

IAM

Secret Manager

Terraform

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.