Job ID: 115809-1
Job Title: GCP Architect / Technical Lead
Location: Tampa, FL - Onsite
Duration: 06+ months
Pay Rate: $50-$53/hr on W2/C2C
GCP Architect / Technical Lead
Key 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.
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
Role Descriptions: Key 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. Required SkillsStrong 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 BigQueryCloud SQL / Fire store IAM and service accounts Secret ManagerCloud Logging / Cloud Monitoring Terraform or equivalent Infrastructure as Code
Essential Skills: Key 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.Required SkillsStrong 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 RunCloud FunctionsAPI Gateway / ApigeePub/SubCloud StorageBigQueryCloud SQL / FirestoreIAM and service accountsSecret Manager Cloud Logging / Cloud Monitoring Terraform or equivalent Infrastructure as Code
Desirable Skills:
Keyword:
Skills: Digital : Google Cloud~Google Cloud DevOps & Automation
Experience Required: 10 & Above