Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
Responsibilities
Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
CI/CD & Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
Oversee the deployment, maintenance, and backup strategies for databases.
Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
- B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
- Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
Proven ability to design and implement robust, scalable, and secure cloud architectures.
Mastery of Docker and Kubernetes administration.
Strong proficiency in Terraform.
Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
Experience managing PostgreSQL and ClickHouse databases.
Deep understanding of Linux System Administration.
Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
Strong proficiency in Python and Bash scripting.
Familiarity with DevSecOps tools and practices.
Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
Bonus: Knowledge of Javascript/Node.js is a strong plus.
Ability to design long-term solutions rather than quick fixes.
Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
Comfortable working in a fast-paced environment with evolving requirements.
Fluent English is a must.
Job:
AI4all, R&D IS EngineerOrganization:
Software DevelopmentSchedule:
Full timeEmployee Status:
RegularJob Type:
Job Posting Date:
2026-02-03Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
More information on Valeo: https://www.valeo.com
Skills Required
- 5+ years experience in DevOps, Cloud Engineering, or Site Reliability Engineering
- Advanced hands-on experience with GCP and AWS
- Proficiency in Terraform
- Mastery of Docker and Kubernetes administration
- Experience managing PostgreSQL and ClickHouse databases
- Strong proficiency in Python and Bash scripting
- Fluent English
- Experience in AI/ML lifecycle tools
Valeo US Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Valeo US and has not been reviewed or approved by Valeo US.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is positioned roughly in line with large automotive manufacturers’ ranges, with competitive bases described for engineers, technicians, and select salaried roles.
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Healthcare Strength — Healthcare Strength: Medical coverage uses major carriers such as Blue Cross/Anthem, and premiums are described as reasonable for many roles, alongside core offerings like life insurance and an employee assistance program.
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Retirement Support — Retirement Support: A 401(k) with employer match around 5% is referenced, with structures that have included automatic contributions plus match depending on location and time, and current postings list 401(k) matching as a core benefit.
Valeo US Insights
What We Do
Valeo is an automotive supplier and partner to all automakers worldwide. As a technology company, Valeo proposes innovative products and systems that contribute to the reduction of CO2 emissions and to the development of intuitive driving. In 2020, the Group generated sales of 16.4 billion euros and invested 12% of its original equipment sales in Research and Development. At December 31, 2020, Valeo had 187 plants, 20 research centers, 43 development centers and 15 distribution platforms, and employed 110,300 people in 33 countries worldwide. Valeo is listed on the Paris Stock Exchange.








