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Senior Data Engineer (GenAI / Python) (H/F/NB)
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Vous rejoindrez la squad engineering de l'AI CoE pour développer les services back-end et les pipelines d’IA de l'agent conversationnel.
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Documentation Project Manager

Scality -
Paris (75)

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Détails de l'emploi

Temps plein

Qualifications

Français
CSS
React
Développement web
Anglais
JavaScript
SCSS
APIs
Support clients
S3
Intelligence artificielle
TypeScript
Architecture logicielle

Description complète du poste

About Scality:

Scality solves organisations’ biggest data storage challenges: growth, security, performance, and cost. Designed for end-to-end cyber resilience, only Scality S3 object storage with CORE5 safeguards data at every level of the system, from API to architecture. Its patented MultiScale Architecture enables limitless, independent scalability in all critical dimensions to meet the unpredictable demands of modern workloads. The world’s most discerning companies depend on Scality to accelerate high-performance AI initiatives, optimize cloud deployments, and defend their data with confidence. Recognized as a leader by Gartner, Scality software is reliable, secure, and sustainable. Follow us on LinkedIn. Visit www.scality.com and our blog.

About the Role:

Documentation is an integral part of the product. Every user guide, release note or reference material that reaches a user reflects directly on the quality of our software. At Scality, we treat documentation with the same rigour we apply to code.

We are currently redefining the traditional technical writing for an AI-based, code-aware documentation environment.
Instead of producing static documentation as the final output, this role will help design, test, improve, and govern a documentation system where knowledge is generated from code, structured into reusable atomic components, and assembled for different audiences, channels, and use cases.
While, software engineers will build the underlying platforms, pipelines, and agentic workflows, this role will define what those systems need to do, evaluate whether they are doing it correctly, improve the quality of the generated knowledge, and ensure that AI-generated or AI-assisted documentation is accurate, useful, consistent, and safe.

Key Responsibilities

Implement the Knowledge Architecture and Content Strategy

Design and maintain a system of atomic, reusable knowledge components that can be assembled for different personas, purposes, and media.
Define how information should be presented based on the delivery channel:
Define information distribution channels based on detailed persona analysis and usage patterns.
Specify the information presentation requirements for each channel
Design and implement a robust content categorization and tagging system (taxonomy) that serves both end-users and documentation contributors who become personas in the context.

Manage Requirements for Agentic Documentation Systems

Translate documentation and knowledge needs into clear requirements for engineering teams building agentic documentation pipelines and the delivery channels including:
- The construction of new delivery channels.
- The implementation of a content framework that enables Engineering and Customer Success teams to autonomously contribute and update documentation articles for these channels.
Define expected behavior for agents that generate, transform, validate, assemble, or publish documentation.
Create acceptance criteria for agent outputs, including accuracy, completeness, clarity, traceability, tone, structure, and audience fit.
Identify where automation is appropriate and where human review, editorial control, or governance is required.

Drive the project planning for the transition from the current documentation model to the future one

Drive modernization initiatives for documentation tooling, publishing, and content governance.
Continue to support legacy technical documentation production, including writing, editing, reviewing, updating, and publishing traditional documentation deliverables.

Who We Are Looking For

You bring

Fluent English language skills.
Strong exposure to technical writing, developer documentation, product documentation, or technical content strategy.
Good understanding of code, APIs, software architecture, technical workflows, and engineering discussions.
Experience with frontend web development and styling capabilities using CSS/SCSS with practical knowledge of JavaScript/TypeScript and React to write clean, reusable layout components
Ability to write clear requirements, acceptance criteria, test cases, and quality standards.
Experience reviewing, editing, testing, or validating AI-generated or semi-automated content.
Strong project management skills to lead significant organizational and technical change within the documentation process.
Must possess a strong grasp of user experience principles to design intuitive content consumption models.

Nice to have

Any exposure to file and object storage, as well as cloud storage solutions.
Experience working with engineers and product teams to document complex software systems.
Comfort working in docs-as-code environments, version control systems, issue trackers, and modern software development workflows.
French fluency for day-to-day work in a Paris-based team.
Curious and open-minded you have a good sense of humour

Qualifications

Hands-on experience using terminal-based agentic tools.
Experience with customer support knowledge, help centers, internal enablement, or developer portals.

Life@scality:

We offer careers with an opportunity to bridge international borders, working alongside a highly skilled and international team across Europe and Asia.

Hybrid work model: minimum 2 days/week in our Paris office, remainder remote
Approximately 30% travel across France and Europe — all expenses covered
Access to training and professional certification programs to support your career growth
Sports and wellness programs, social responsibility initiatives, and generous benefits packages

Our internal motto is : “work hard, play hard, eat well and amaze the customer!”

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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cloud frontend engineer emplois - paris 4e, a8

Documentation Project Manager

Senior Data Engineer (GenAI / Python) (H/F/NB)

Senior Software & Data Engineer (F/H)

Senior Backend Engineer

Staff Security Engineer (CDI)

Senior Software Engineer (Platform)

Senior SRE

Machine Learning Engineer

Security Engineer (DevSecOps / Code Security)

Stage - Software Engineer (basé à Paris 9e) (H/F)

Staff Engineer - Endpoint security

Software Engineer

Staff Engineer – AI (France)

DevOps / Architect Engineer F/H

Team Lead, Platform Services

Data Platform Engineer Senior

Senior Software Engineer (Supplier Data Manager)

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : cloud frontend engineer (paris 4e, a8)

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