GOOGLE CLOUD ARCHITECT

Job Description : GCP Principal Consultant / ARCHITECT

Location : Hyderabad (Work from Office)

Experience : 15+ Years

Employment Type : Full-time

About the Role

We are looking for a highly experienced GCP Principal Consultant ARCHITECT to lead enterprise-grade cloud transformation initiatives. This role demands deep hands-on expertise in GCP architecture, cloud security, DevSecOps, and modern infrastructure practices. The ideal candidate will be a certified GCP expert with extensive leadership experience in driving digital transformation at scale.

Key Responsibilities

Lead end-to-end architecture, planning, and execution of cloud transformation programs on Google Cloud Platform (GCP).

Review and approve architectural diagrams, cloud adoption plans, security frameworks, and implementation timelines.

Provide technical direction on GCP core services including VPC, IAM, Cloud Security, BigQuery, Vertex AI, Cloud Run, App Engine, and Kubernetes.

Drive Infrastructure as Code (IaC) best practices using Terraform, Ansible, and Packer.

Collaborate with customer stakeholders, cloud engineers, and project managers to align cloud strategies with business goals.

Guide secure cloud foundations, cloud-native deployments, and workload migrations (from on-prem or multi-cloud).

Enable DevOps and CI / CD pipelines with tools like Jenkins, GitLab, Cloud Build.

Mentor cloud engineers and contribute to internal knowledge-sharing and technical workshops.

Requirements

20+ years in IT with strong leadership in cloud consulting, especially GCP.

Google Cloud Certified Professional Cloud Architect (and other GCP certifications preferred).

Proficiency in Terraform, Shell scripting, Python, Jenkins, and DevSecOps principles.

Expertise in cloud networking (VPCs, VPNs, Interconnects), security (IAM, WAFs, IDS / IPS), and monitoring.

Experience with enterprise clients across domains such as BFSI, Healthcare, Telecom, and Retail.

Strong communication skills and the ability to work with global stakeholders.

Preferred experience with AWS, Azure, or multi-cloud environments.

Experience with AI / ML platforms (e.g., Vertex AI, BigQuery ML) is a plus.

Nice to Have

Experience in setting up Cloud Centers of Excellence (CCoE).

Knowledge of ITIL or project management frameworks.

Exposure to client onboarding, pre-sales, and stakeholder demos.