Cloud Engineer

Google Cloud Platform: Compute Engine, GKE, Cloud Storage, BigQuery, Cloud Build, IAM,

VPC, Cloud Monitoring and Cloud Logging

• AI/ML: Vertex AI, plus agentic systems and emerging protocols such as MCP and Agent2Agent

(A2A)

• Infrastructure as Code & Automation: Terraform (Google provider), Ansible, Git, CI/CD

pipelines

• Security & Governance: Organization Policies, VPC Service Controls, Security Command

Center, DevSecOps tooling

• Operating Systems & Scripting: Linux (RHEL), Python

• Networking: Shared VPC, Cloud Interconnect/VPN, Private Service Connect

Roles and Responsibilities

• Architect & Optimize: Design and implement Google Cloud Platform environments for reliability, scalability, and

security, focusing on AI/ML workflows on Vertex AI and enterprise-grade platforms.

• Cloud Migration: Lead migrations of applications and workloads from on-premises data centers

to Google Cloud Platform, covering assessment, planning, cutover and post-migration optimization.

• Reliability & Operations: Own the day-to-day reliability of production Google Cloud Platform platforms, including

monitoring, alerting, incident response, capacity planning and cost optimization.

• Automation & CI/CD: Build and maintain Terraform-based infrastructure pipelines and zero

touch automation so environments are provisioned consistently and securely.

• Platform Enablement: Develop and enforce reusable Google Cloud Platform patterns (landing zones, Terraform

modules, project and folder structures), automation frameworks, and best practices for cloud and

AI/ML deployments.

• Security & Governance: Establish and manage Google Cloud Platform security controls (IAM, Organization

Policies, VPC Service Controls, Security Command Center), governance processes, and

compliance standards.

• Collaboration: Work closely with business and technology teams to align Google Cloud Platform platform

capabilities with organizational goals.

• Client Engagement: Serve as the go-to technical voice for cloud infrastructure on the project

team, and present designs and recommendations to CGI and client stakeholders.

• Technical Leadership: Mentor and support engineering teams, guide data scientists and ML

engineers on Google Cloud Platform and Vertex AI best practices, and lead resolution of complex platform issues.

• Continuous Improvement: Stay current with Google Cloud releases and industry trends,

evaluate emerging technologies, and drive adoption of cloud engineering best practices.

Required Qualifications

• Deep, hands-on expertise in Google Cloud Platform (Google Cloud Platform), including Compute Engine, GKE,

Cloud Storage, BigQuery, Cloud Build, IAM, and VPC.

• 8+ years of relevant experience in cloud engineering, with a strong background in architecting

and operating Google Cloud Platform environments at scale.

• Advanced proficiency in Terraform for Google Cloud Platform infrastructure automation; familiarity with Ansible and

Git.

• Strong understanding of AI platforms and AI/ML workflows, with hands-on Vertex AI experience.

• Familiarity with agentic systems and emerging AI protocols such as Model Context Protocol

(MCP) and Agent2Agent (A2A).

• Advanced knowledge of Linux (RHEL) and Python for automation and tooling.

• Demonstrated experience with DevSecOps, zero-touch automation, and shift-left security

practices.

• Advanced understanding of Google Cloud Platform networking (Shared VPC, Cloud Interconnect/VPN, Private

Service Connect), security principles, and compliance frameworks.

• Experience with Behavior Driven Development (BDD) for testing.

• Excellent problem-solving, analytical, and communication skills.

• Ability to work effectively in a collaborative, cross-functional team environment.

• Adaptability to changing technologies and project requirements.

Nice to Have

• Google Cloud Professional certification(s): Cloud Architect, Cloud DevOps Engineer, Cloud

Security Engineer, or Machine Learning Engineer.

• Experience with other cloud providers (AWS, Azure) and their AI platforms (SageMaker,

Bedrock, Copilot).