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Valeo

Automotive electrification, ADAS, interior lighting tech

AI Architect & Infrastructure - Cloud Solution

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeCairo, Cairo Governorate, EgyptNo 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 9 years of experience in cloud engineering, infrastructure, DevOps, platform engineering, or solution architecture is required.
  • Strong hands-on experience with Google Cloud Platform 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, 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

  • Define and maintain cloud architecture for AI4ALL platforms and applications.
  • Design secure, scalable, highly available, and cost-efficient infrastructure for AI solutions on GCP.
  • Support hybrid and cross-cloud integration with other cloud platforms when needed.
  • Establish reusable cloud patterns, standards, and reference architectures.
  • Define and govern Infrastructure as Code practices, preferably using Terraform.
  • Build CI/CD pipelines and GitHub Actions workflows for development teams.
  • Implement automated testing, code-quality checks, security scanning, and deployment automation.
  • Work with cybersecurity teams on IAM, networking, secrets management, compliance, and cloud governance.
  • Design infrastructure supporting AI, data, and generative-AI workloads.
  • Define standards for monitoring, logging, resilience, disaster recovery, and cost optimization.
  • Lead architecture reviews, mentor engineers, and collaborate with cross-functional Agile teams.

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, SRE, FinOps, or OpenTelemetry.
  • Experience in automotive, industrial, or regulated environments.

About the Company

Valeo

Automotive electrification, ADAS, interior lighting tech

Valeo creates technology for automakers to make cars cleaner, safer, and smarter, focusing on four areas: electrification, driving assistance, reinvented interior experiences, and lighting. Its products combine electrical systems, sensors, software, and lighting that are designed, manufactured, and integrated into vehicles to enable electric propulsion, automated driving features, smarter interiors, and advanced illumination. The company differentiates itself by being a global industrial and technology leader with a large manufacturing footprint and a broad, cross‑domain portfolio across mobility transformation. Valeo’s goal is to help the transportation system shift toward cleaner, safer, and smarter mobility worldwide.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1923

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