GCP Cloud Platform Engineer / AI Cloud DevOps Architect

Expleo

3h 24m ago

On-site

Full Time

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.

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.

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.

gcpterraformkubernetesdockergithubawsazurelanggraph

🇬🇧 English

Expleo

3h 24m ago

On-site

Full Time

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.

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.

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.

gcpterraformkubernetesdockergithubawsazurelanggraph

🇬🇧 English