SFEIR

About the Company

Le Groupe SFEIR s’impose comme un acteur majeur dans la construction de systèmes d’information modernes, grâce à un quadruple savoir-faire : Engineering, Consulting, Training et Tooling. Avec plus de 950 développeuses et développeurs, nous sommes fiers de concevoir et de déployer des solutions innovantes dans des domaines stratégiques tels que l'intelligence artificielle (IA), la data, le cloud, le software et la sécurité. Notre mission : accompagner les C-Level dans leurs réflexions stratégiques, démarrer des projets à grande vitesse, et créer rapidement de la valeur pour nos clients. Pourquoi choisir SFEIR ? Expertise technique reconnue : nos domaines d’excellence incluent les langages tels que Java, JavaScript, Go, .NET, NodeJS et Python. Pionnier du Cloud : acteur de référence en France, nous aidons nos clients à accélérer leur transformation numérique avec des technologies de pointe. Valeurs humaines fortes : chez SFEIR, nous partageons une culture basée sur le partage, la bienveillance et l’humilité. Angelo, développeur Agile Web depuis 5 ans chez SFEIR, témoigne : « Lorsque j’ai passé les PlayOffs, c’était une expérience enrichissante. J’ai rencontré des évaluateurs brillants et bienveillants. J’ai appris en mode coaching. » Une différence dans l’ADN : Nicolas, Software Architect et Team Leader chez SFEIR depuis 8 ans, résume ainsi notre singularité : « C’est un état d’esprit. L’humain avant tout. La fierté d’être développeur. Le salaire au-dessus du marché aussi. Nous appartenons à une famille. Tout le monde est accessible et prêt à aider. Chez SFEIR, chacun peut se développer. » Notre process de recrutement : les PlayOffs Un parcours unique pour identifier les talents, avec 3 tests d’évaluation technique en peer-programming : Algorithme - Langage - Infrastructure as Code. SFEIR, c’est bien plus qu’un cabinet de conseil technologique : c’est une communauté d’experts, un partenaire stratégique, et une entreprise où chacun peut s’épanouir pleinement.

Listed Jobs

Company Name

SFEIR

Job Title

AI ENGINEER (H/F)

Job Description

**Job Title** AI Engineer **Role Summary** Design, build, deploy, and scale generative AI solutions. Manage end‑to‑end lifecycle of AI models, including production deployment, monitoring, and performance tuning. Shape robust, maintainable, and scalable AI architectures on cloud platforms. **Expectations** - Deliver production‑ready generative AI models. - Iterate prototypes into enterprise‑grade solutions. - Maintain high standards of security, cost‑efficiency, and reliability. - Collaborate across cross‑functional teams to integrate AI into broader product stacks. **Key Responsibilities** - Develop, deploy, and maintain generative AI models in production. - Design and refine agent‑based architectures (multi‑agent systems, orchestration, context tools). - MLOps/LLMOps pipeline industrialization: data ingestion, model training, versioning, and monitoring. - Containerize and orchestrate workloads using Docker and Kubernetes. - Implement CI/CD pipelines for continuous integration, delivery, and model rollback. - Optimize deployment performance, security, and operational costs on GCP, AWS, or Azure. - Collaborate with data, product, and dev‑ops teams to align AI solutions with business objectives. **Required Skills** - Advanced proficiency in Python. - Strong knowledge of Docker, Kubernetes, and cloud-native deployment tools. - Experience with generative AI model development and maintenance. - Expertise in agent‑based architecture and orchestration. - Proven MLOps/LLMOps experience: data pipelines, model versioning, monitoring. - Familiarity with CI/CD tools and automation scripting. - Cloud platform experience (GCP, AWS, Azure). - Understanding of security best practices and cost‑optimization in cloud deployments. **Required Education & Certifications** - Bachelor’s or higher degree in Computer Science, Data Engineering, or related field. - Relevant certifications in AI/ML, Docker/Kubernetes, and cloud platforms are desirable.

Nantes, France

Hybrid

16-11-2025

Company Name

SFEIR

Job Title

Software Engineer Python / FastAPI

Job Description

Job title: Software Engineer – Python / FastAPI Role Summary: Develop and maintain high‑quality, scalable APIs using Python and FastAPI. Design cloud‑native services on GCP, implement CI/CD pipelines, integrate generative AI solutions, and ensure production reliability through observability and performance optimization. Expectations: - Deliver production‑ready code that meets security, scalability, and performance requirements. - Apply TDD, automated testing, and code review practices consistently. - Collaborate cross‑functionally with product, ops, and ML teams to incorporate AI features. Key Responsibilities: - Design, implement, and document RESTful APIs with FastAPI. - Build and deploy serverless or containerized services on GCP (Cloud Functions, App Engine, Kubernetes). - Own the CI/CD pipeline using GitHub Actions, Terraform, Docker, and Kubernetes. - Create and maintain unit/integration tests, ensuring high coverage. - Participate in code reviews, enforce clean‑code standards, and mentor junior developers. - Integrate generative AI/GenAI components to enhance business processes. - Monitor applications in production, troubleshoot issues, and optimize performance and resource usage. Required Skills: - 4+ years of professional Python development. - Deep expertise in FastAPI and REST API architecture. - Proven experience with GCP (Cloud Functions, App Engine, GKE) and/or AWS in serverless contexts. - Containerization (Docker, Kubernetes) and infrastructure as code (Terraform). - CI/CD tooling (GitHub Actions, Jenkins, GitLab CI). - Strong unit and integration testing framework (PyTest, unittest). - Familiarity with PostgreSQL and MongoDB. - Good grasp of observability tools (Prometheus, Grafana, Cloud Monitoring). - Ability to design and integrate AI/ML services, preferably with GenAI. - Excellent written and oral communication, code‑review etiquette, and problem‑solving skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience). - Google Cloud certifications (Professional Cloud Developer or Professional Cloud Architect) highly desirable. - Additional certifications in DevOps or AI/ML are a plus.

Paris, France

Hybrid

Junior

20-11-2025

Company Name

SFEIR

Job Title

Développeur.euse C# / .Net expérimenté.e

Job Description

Job Title: Senior C# / .Net Developer Role Summary: Lead the design, development, and optimization of .NET backend solutions, secure APIs, and mobile SDKs. Participate in architecture decisions, enforce coding standards, mentor junior developers, and deliver technical training sessions. Expactations: Demonstrate advanced C#/.NET expertise; drive high-quality code, secure design, and performant systems; contribute to technical committees and architectural reviews; mentor and coach peers; facilitate knowledge sharing through workshops and documentation. Key Responsibilities: - Design, code, and deploy robust C#/.NET services, including REST APIs and microservices. - Ensure security compliance (OWASP, custom auth) for exposed APIs and SDKs. - Optimize database interactions (SQL Server, stored procedures, EF Core). - Implement CI/CD pipelines using Azure DevOps or equivalent. - Participate in architecture discussions and technical steering committees. - Review code, enforce best practices, and maintain code quality metrics. - Mentor junior developers and conduct training on ASP.NET Core, Entity Framework, and REST design. Required Skills: - Expert knowledge of C#, .NET Framework, .NET Core, ASP.NET Core. - Proficient with Entity Framework Core, LINQ, and relational database tuning. - Strong understanding of RESTful API design, secure coding, and authentication. - Experience with continuous integration/delivery (Azure DevOps, GitHub Actions). - Familiarity with cloud platforms (Azure, AWS, or GCP) and microservices architecture. - Ability to mentor, teach, and influence best practices within a team. - Solid grasp of Agile/Scrum processes and collaborative tools. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Preferred certifications: Microsoft Certified: Azure Developer Associate, Microsoft Certified Solutions Developer (.NET), or equivalent.

Toulouse, France

Hybrid

03-12-2025

Company Name

SFEIR

Job Title

Développeur(euse) Python expérimenté(e)

Job Description

**Job Title:** Senior Python Developer **Role Summary:** Design, develop, and maintain scalable distributed systems and cloud-native infrastructures using Python. Lead technical initiatives, mentor junior developers, and drive architectural improvements through research and proof‑of‑concepts. Deliver high‑quality data pipelines, REST APIs, and AI‑enhanced services that have tangible business impact. **Expectations:** - Own end‑to‑end Python development across cloud platforms. - Mentor junior team members and act as a technical point of contact. - Propose and validate architectural enhancements and optimizations. - Collaborate cross‑functionally with product, data science, and infrastructure teams. **Key Responsibilities:** - Architect and implement distributed systems at scale with Python. - Refactor and upgrade cloud infrastructure (e.g., migrating from Flask to FastAPI, protobuf to Pydantic). - Build robust, high‑performance data pipelines leveraging BigQuery, Dataflow, and other GCP services. - Develop complex RESTful APIs using FastAPI within distributed architectures. - Automate content translation and AI integrations (e.g., Google Cloud Generative AI, Natural Language API). - Create Jupyter notebooks for data ingestion and processing. - Set up document‑based knowledge bases and onboard new teams. - Validate machine‑learning results and generate actionable reports. **Required Skills:** - **Programming:** Advanced Python (3.x), strong debugging and testing practices. - **Frameworks & Libraries:** FastAPI, Flask, Pydantic, protobuf, NumPy/Pandas. - **Cloud & Architecture:** GCP (BigQuery, Dataflow, Cloud Functions), experience with CI/CD pipelines, IaC (e.g., Terraform, Cloud Deployment Manager). - **Data Engineering:** Building scalable ETL/ELT pipelines, data modeling, performance tuning. - **AI Integration:** Working with generative AI APIs, natural language processing APIs. - **Mentorship & Leadership:** Proven ability to coach junior engineers and influence technical direction. - **Version Control & DevOps:** Git, GitHub Actions, Docker, Kubernetes. - **Soft Skills:** Clear communication, problem‑solving, collaborative mindset. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Preferred certifications: Google Cloud Professional Data Engineer, Google Cloud Professional Cloud Architect, or equivalent. ---

Lille, France

Hybrid

11-12-2025