Role: GCP Architect w/ AI/ML
Location: Tampa, FL || Onsite
Position Type: Contract
Years of Experience: 10+ Years
Responsibilities:
- 5+ years of experience designing, building, and optimizing enterprise-grade cloud solutions
- Proven track record of architecting scalable, secure, and highly available solutions on Google Cloud Platform across diverse industries.
- Deep expertise in GCP infrastructure design, including Compute Engine, GKE, Cloud Run, App Engine, and serverless architectures.
- Strong command over network architecture, including VPC design, peering, custom routes, Cloud NAT, load balancing, and firewall configurations.
- Specialized in implementing enterprise-grade security using IAM, PAM, service accounts, encryption at rest/in transit, and threat detection via Security Command Centre.
- Designed and deployed data pipelines and analytics platforms using BigQuery, Cloud Dataflow, Pub/Sub, and Cloud Composer.
- Skilled in data modelling, transformation, and cleansing for large-scale analytics and ML workflows.
- Delivered AI/ML-powered insights using Vertex AI, BigQuery ML, and integrated BI tools like Looker and Data Studio.
- Extensive experience in Infrastructure as Code (IaC) using Terraform, Ansible, and CI/CD automation with Jenkins and Cloud Build.
- Proficient in cost optimization strategies, leveraging Cloud Billing reports, committed use discounts, and custom dashboards.
- Strong programming skills in Python, with experience in API development, automation, and cloud-native application design.
- Holds Google Cloud Certified Professional Cloud Architect credential, validating deep technical expertise and strategic cloud leadership.