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  • Google, Inc
  • Paris, France
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Laurent VAYLET


I am a Senior DevOps Engineer and Cloud Architect, specializing on Big Data and Machine Learning projects on Google Cloud Platform (GCP).

I have been accumulating working experience on Google Cloud Platform since mid-2018, allowing me to clear 4 GCP certifications so far: Cloud Engineer, Cloud Architect, Cloud Data Engineer and Cloud DevOps Engineer.

Beyond general software engineering, DevOps and cloud architecture, I specialize in applying DevOps principles to data processing pipelines (DataOps) and data science projects (MLOps). For example with Kubeflow, the open source Machine Learning toolkit for Kubernetes. Thanks to working hand in hand with Software Engineers, Data Engineers and Data Scientists on a daily basis, I understand their expectations and the challenges they face.

Work Experience

Cloud Partner Engineer @ Google

Jun 2020 – Present

I help our customers solve their biggest problems and transform their business using the best of Google by ensuring our partners become the best pre-sales and delivery extension of our Google Cloud business.

Cloud Architect | DevOps @ Groupe Renault

Mar 2020 – May 2020

I help Renault scale and modernize its technical stack by:

  • migrating the GCP Infrastructure-as-Code from Terraform 11 to Terraform 12
  • creating a Terraform module that lets end-users provision firewall rules in a critical GCP project with a self-service approach (compared to a centralized, slow and less secure approach before)
  • improving the security of the provisioning processes with terraform-validator and custom security policies/constraints
  • automating the generation and storage of sensitive GCP credentials in Vault (compared to a mostly manual workflow based on GitLab CI variables before)
  • coaching project teams and operational teams on the value of Cloud, DevOps and MLOps.

Cloud & Data Architect, specializing on MLOps @ Renault Digital

Sep 2018 – Feb 2020

Working hand in hand with Data Scientists and Data Engineers, I contribute to applying DevOps principles to the world of Big Data, Machine Learning and Data Analytics. I focus on production readiness, end-to-end automated deployment and minimum time-to-market.

I am currently involved in:

  • Prototyping Kubeflow, the "Machine Learning Toolkit for Kubernetes", in collaboration with Product Managers and Machine Learning Specialists at Google
  • Migrating our corporate on-premise Hadoop datalake to GCP
  • Defining corporate guidelines regarding data sharing, data governance, authentication and authorization at the organization level
  • Automating the provisioning of sandbox, development and production environments on GCP for project teams
  • Developing pilots of Data Science use cases with Data Scientists and Data Engineers
  • Consulting Data Scientists and Data Engineers on Cloud, DevOps (MLOps) and architecture topics



Master of Mechanical Engineering @ INSA Lyon

2000 – 2005

Licenses & Certifications

Google Cloud Certified Professional Cloud Architect

Issued Oct 2019, Expires Oct 2021

Credential ID 13860791

Google Cloud Certified Professional Data Engineer

Issued Sep 2019, Expires Sep 2021

Credential ID 13727048

Volunteer Experience

GDG Paris - DevFest Paris Organization Team

Mar 2019 – Present

The Google Developers Groups (GDG) are groups of people interested in Google Platforms and Technologies: Android, Chrome, Google Apps, Angular, Cloud… These groups promote sharing, learning, connecting and growing. They can be found all around the world.

The objective of GDG Paris is to organise events regularly. The DevFest, or ‘Developers Festival’, is one such event. It is a technical conference for developers aimed at students, professionals or simply curious technophiles. The 2020 edition of the DevFest Paris took place on Feb 14th with 900 attendees and 36 speakers on 5 parallel tracks. A record!



Nov 2018

Score: 980/990

Popular repositories

  1. Drone Fleet Management Dashboard

    Vue 2 4

  2. Read remote control receiver values with Arduino

    C++ 1

  3. End-to-end machine learning pipelines with Kubeflow

    Shell 1 1

  4. dotfiles Public

    My Linux configuration files


  5. Code for the excellent online book 'How to Tango with Django'


  6. Code for the excellent book 'Test-Driven Development with Django' by Harry Percival


37 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Mon Wed Fri

Contribution activity

August 2022

lvaylet has no activity yet for this period.

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