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Sélène PetitSP

Sélène Petit

SENIOR CLOUD DATAOPS ENGINEER

480 €/jour
Grenoble, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Sélène

Senior Cloud DataOps Engineer with
extensive experience in building and
industrializing global AI Platforms.
Combines advanced analytical capabilities
from a background in Cognitive Science
with high-level technical expertise in cloud
infrastructure, CI/CD, and DataOps.
Focused on delivering scalable, secure,
and production-ready environments for
complex AI use cases.
  • Anglais

    Bilingue ou natif

  • Français

    Bilingue ou natif

Accepte de travailler sur site
Grenoble (jusqu’à 30 km)

Expériences

  • SCHNEIDER ELECTRIC
    SENIOR CLOUD DATAOPS ENGINEER
    juillet 2023 - Aujourd'hui (3 ans)
    - Centralized AI Platform: Contributing to the design and evolution of the company's global AI Platform used for both internal functions and external offers.
    - Industrialization & Templates: Developing state-of-the-art AI templates and reusable libraries for ML and RAG applications across AWS, Azure, and Databricks.
    - Infrastructure as Code (IaC): Architecting and deploying secure cloud infrastructure using Terraform and CloudFormation.
    - DevOps & CI/CD Excellence: Implementing rigorous GitHub Actions workflows, including unit, functional, and integration testing to ensure platform-level code quality.
    - Observability & Monitoring: Engineering data observability solutions and monitoring pipelines to ensure stable operations and cloud cost efficiency.
    - Stakeholder Support: Collaborating with internal data experts to identify transformation methods and providing expert support on platform features.
  • Data Platform projects
    AWS DATA ENGINEERING LEAD
    janvier 2021 - juillet 2023 (2 ans et 6 mois)
    - Pipeline Orchestration: Engineered efficient data pipelines
    consuming REST APIs and Ethereum blockchain data using Step
    Functions and Glue.
    - Serverless Architecture: Developed scalable data transformation
    and visualization solutions on AWS Lambda and S3.
    - Advanced Querying: Managed structured and non-relational data
    using Athena (SQL) and DynamoDB.
    - IaC Automation: Built and automated cloud infrastructure from
    scratch using Terraform.

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Formations

  • Ph.D. in Cognitive Sciences
    Macquarie University
    2020
  • M.Sc. in Cognitive Sciences
    Universite Grenoble Alpes
    2016

Certifications

  • AWS (Certified Solutions Architect)
    AWS
    2025
  • AWS Cloud Practitioner
    AWS
    2023

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