GCP Architect / Technical Lead
Location : Tampa, FL - Onsite
Experience Required: 10 & Above
Send profiles to: mkodumunja@sageitinc.net
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Location : Tampa, FL - Onsite
Experience Required: 10 & Above
Send profiles to: mkodumunja@sageitinc.net
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
• 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
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