GCP ARCHITECT/DIRECTOR

Position Title:

Location: Hyderabad (Work from Office)

Experience:

Employment Type:

About the Role

We are looking for a highly experienced GCP Principal Consultant or Director – Cloud Engineering 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.