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.
- Solid 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.

📌 GCP Cloud Platform Engineer / AI Cloud DevOps Architect (Tamil Nadu)
🏢 Expleo
📍 Tamil Nadu