GCP Cloud Platform Engineer / AI Cloud DevOps Architect

Overview

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in cloud engineering, infrastructure, DevOps, platform engineering, or solution architecture.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Experience working with hybrid or cross-cloud environments, such as AWS or Microsoft Azure.
• Hands-on experience working with agentic frameworks and AI orchestration tools:
• e.g., LangGraph, Google GenAI SDK/Agent Builder, Google ADK, AutoGen) to deploy autonomous AI agents.
• Strong experience with Infrastructure as Code, preferably Terraform.
• Experience building CI/CD pipelines and GitHub Actions workflows.
• Knowledge of automated testing, code quality, security scanning, and deployment automation.
• Strong knowledge of cloud networking, IAM, security, observability, and cost management.
• Experience with Docker, Kubernetes, GKE, or Cloud Run.
• Strong leadership, communication, mentoring, and stakeholder-management skills.
• Ability to work effectively in Agile and cross-functional teams.

Preferred Qualifications

• Google Cloud Professional Cloud Architect certification.
• Experience with GCP landing zones, Shared VPC, organization policies, and multi-project governance.
• Familiarity with Vertex AI, GitOps, policy as code, SRE, FinOps, or OpenTelemetry.
• Experience in automotive, industrial, or regulated environments.

Responsibilities

• Strong hands-on experience with Google Cloud Platform (GCP).
• Experience working with hybrid or cross-cloud environments, such as AWS or Microsoft Azure.
• Hands-on experience working with agentic frameworks and AI orchestration tools:
• e.g., LangGraph, Google GenAI SDK/Agent Builder, Google ADK, AutoGen) to deploy autonomous AI agents.
• Strong experience with Infrastructure as Code, preferably Terraform.
• Experience building CI/CD pipelines and GitHub Actions workflows.
• Knowledge of automated testing, code quality, security scanning, and deployment automation.
• Strong knowledge of cloud networking, IAM, security, observability, and cost management.
• Experience with Docker, Kubernetes, GKE, or Cloud Run.
• Strong leadership, communication, mentoring, and stakeholder-management skills.
• Ability to work effectively in Agile and cross-functional teams.

Qualifications

• Google Cloud Professional Cloud Architect certification.
• Experience with GCP landing zones, Shared VPC, organization policies, and multi-project governance.
• Familiarity with Vertex AI, GitOps, policy as code, SRE, FinOps, or OpenTelemetry.
• Experience in automotive, industrial, or regulated environments.