8 meilleures offres (python platform engineer devops, paris, a8) (à pourvoir)

Forward Deployed Engineer III, Google Cloud Consulting (French, German)
Google —Paris (75)
- De 82 000 € à 84 000 € par an
- Espagnol
- Niveau Doctorat
- DevOps
9 h
Consultant Senior H/F - Cloud Architect Expert GCP
Sopra Steria Next —Courbevoie (92)
- Temps plein
- Télétravail partiel
- Azure
- Informatique
- DevOps
Postuler rapidement
Senior Consultant.e/Manager – Lead Data Engineering
Wavestone —Puteaux (92)
- Temps plein
- Azure
- Anglais
- SQL
il y a 13 jours
Data Engineer GCP H/F
Open SAS —Levallois-Perret (92)
- SQL
- Python
Postuler rapidement
il y a 6 jours
Consultant.e DevOps CI/CD (F/H)
Metaline —Châtillon (92)
- De 56 000 € à 68 000 € par an
- Télétravail partiel
- Azure
- DevOps
- Anglais
il y a 1 jour
Senior DevOps Engineer
Proton —Paris (75)
- De 51 000 € à 76 000 € par an
- Développement logiciel
- Linux
- Compétences en communication
Postuler rapidement
il y a 1 jour
Data Engineer Expérimenté F/H
EY —La Défense (92)
- Informatique
- Anglais
- Master
il y a 2 jours
DÉVELOPPEUR(SE) DEVOPS - Confirmé (4-10 ans)
SARIEL —Châtillon (92)
- De 48 000 € à 50 000 € par an
- Azure
- DevOps
- Anglais
il y a 1 jour

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Forward Deployed Engineer III, Google Cloud Consulting (French, German)

Google -
Paris (75)

Soumettre votre candidature

Détails de l'emploi

De 82 000 € à 84 000 € par an
Il y a 9 heures

Qualifications

Français
Espagnol
Niveau Doctorat
MCP
DevOps
Google Tag Manager
Master
Niveau Licence
NLP
Intelligence artificielle
Italien
Leadership
Python
Allemand

Description complète du poste

Google welcomes people with disabilities.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience in designing, building, and deploying NLP models and Generative AI agents.
Experience implementing DevOps and MLOps pipelines.
Experience in building generative AI solutions in a customer-facing role.
Experience in ML infrastructure (e.g., model deployment, model evaluation, data processing, and debugging) and coding in Python.
Ability to communicate in French or German fluently to support client relationship management in this region.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation.
Knowledge of Large Language Model ("LLM-native") metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Proven ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.
Fluent in French, Spanish, Italian or other European languages.

About the job

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

As a part of the AI Go-to-Market (GTM) team, you will be a trusted AI advisor, scaling across Google to deliver transformative customer experiences that shape the next-generation of their business. You will partner to provide deep AI expertise, thought leadership, and industry best practices, revolutionize customer outcomes.

As a Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers, and unlike traditional advisory roles, you will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

Your role is designed for high-agency engineers with a founder’s mindset. You will address blocker to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. You will serve a dual purpose, providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

France: €82000 - €84000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Soumettre votre candidature

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python platform engineer devops emplois - paris, a8

Forward Deployed Engineer III, Google Cloud Consulting (French, German)

Consultant Senior H/F - Cloud Architect Expert GCP

Senior Consultant.e/Manager – Lead Data Engineering

Data Engineer GCP H/F

Consultant.e DevOps CI/CD (F/H)

Senior DevOps Engineer

Data Engineer Expérimenté F/H

DÉVELOPPEUR(SE) DEVOPS - Confirmé (4-10 ans)

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python platform engineer devops (paris, a8)

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