Expleo

End-to-end engineering, tech consulting, quality services

GCP Cloud Platform Engineer / AI Cloud DevOps Architect

Cloud EngineeringPosted on Nov 13

Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

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

Responsibilities

Apply hands-on experience with Google Cloud Platform (GCP).
Work with hybrid or cross-cloud environments, such as AWS or Microsoft Azure.
Use agentic frameworks and AI orchestration tools such as LangGraph, Google GenAI SDK/Agent Builder, Google ADK, or AutoGen to deploy autonomous AI agents.
Apply Infrastructure as Code, preferably Terraform.
Build CI/CD pipelines and GitHub Actions workflows.
Use automated testing, code quality, security scanning, and deployment automation.
Work with cloud networking, IAM, security, observability, and cost management.
Work with Docker, Kubernetes, GKE, or Cloud Run.

Desired 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, Site Reliability Engineering (SRE), FinOps, or OpenTelemetry.
Experience in automotive, industrial, or regulated environments.

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.

About the Company

Expleo

End-to-end engineering, tech consulting, quality services

Expleo provides end-to-end engineering, technology consulting, and quality services to help businesses with digital transformation. It combines software quality assurance and testing with engineering and R&D capabilities to design, build, test, deploy, and maintain software-enabled and engineered systems. It stands out by integrating software quality expertise with broader engineering and digital-transformation offerings under one umbrella for industries like banking and telecommunications. Its goal is to help organizations navigate digital transformation by delivering reliable, efficient, and scalable software and systems.

Company size: 10,001+
Company stage: Not listed
Total funding: Not listed
Headquarters: Montigny-le-Bretonneux, France
Founded: 1966

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