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

Java Software Engineer expérimenté.e

Job Description

**Job Title:** Experienced Java Software Engineer **Role Summary:** Advise on technical architecture, lead code reviews, and mentor junior developers while working on advanced Java projects (Java 17/21) and optimizing system performance. **Expectations:** Advanced problem-solving, architecture decision-making, clean code enforcement, and technical mentorship. **Key Responsibilities:** - Analyze and optimize system performance for enterprise Java solutions. - Participate in architecture design, code reviews, and quality assurance via unit testing and SOLID principles. - Deliver clean, scalable code and enforce best practices in software development. - Train junior engineers through technical sessions and architectural presentations. **Required Skills:** - Proficiency in Java (17/21), Java EE, and Spring Boot frameworks. - Expertise in object-oriented design, performance tuning, and unit testing (JUnit/TestNG). - Experience with CI/CD pipelines and cloud platforms (AWS, Azure, Google Cloud). - Strong understanding of API/microservices architecture and DevOps practices. **Required Education & Certifications:** Bachelor’s or higher in computer science, engineering, or equivalent. Advanced Java certifications (e.g., Oracle Java Professional) preferred.

Bordeaux, France

Hybrid

07-09-2025

Company Name

SFEIR

Job Title

Data Engineer Confirmé(e)

Job Description

**Job Title:** Senior Data Engineer **Role Summary:** A senior data engineer responsible for designing, building, and maintaining resilient data pipelines and infrastructure on Google Cloud. The role involves architecting scalable data solutions, migrating legacy systems, and experimenting with generative AI to enhance data workflows. **Expectations:** - Lead end‑to‑end data engineering projects with direct business impact. - Own the entire lifecycle of data pipelines, from extraction to analytics dashboards. - Collaborate closely with business stakeholders to translate requirements into robust technical solutions. - Drive continuous improvement of data architecture and operational efficiency. **Key Responsibilities:** - Design and implement data pipelines using Python, SQL, FastAPI, Apache Spark, and Google Cloud services (BigQuery, Dataflow, Composer). - Architect data models, monitoring, optimization, and scalability for large‑scale workloads. - Migrate legacy Hadoop stacks to Google Cloud via lift‑and‑shift and modern architecture. - Develop real‑time ML algorithms to optimize supply chain and other business processes. - Build and maintain dashboards in Looker Studio and other BI tools. - Orchestrate complex workflows with Airflow and Terraform. - Explore generative AI (LLMs, RAG, no‑code assistants) to improve data processes. **Required Skills:** - Strong programming in Python and SQL. - Hands‑on experience with Apache Spark and FastAPI. - Deep knowledge of Google Cloud Platform: BigQuery, Dataflow, Composer, GCS, Pub/Sub. - Experience with workflow orchestration (Airflow, Composer). - Proficiency in infrastructure as code (Terraform). - Familiarity with BI tools (Looker Studio, Tableau, PowerBI). - Ability to design scalable, maintainable data architectures. - Comfortable migrating from legacy systems to cloud. - Interest and basic knowledge of generative AI models and their application to data. - Version control (Git) and collaboration in agile environments. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. - Google Cloud certifications (e.g., Professional Data Engineer, Cloud Architect) preferred but not mandatory. - Proven experience in data engineering roles, with a portfolio of production systems.

Lille, France

Hybrid

02-11-2025

Company Name

SFEIR

Job Title

Senior Data Scientist / ML GCP

Job Description

Job Title: Senior Data Scientist / ML GCP Role Summary: Design and develop scalable, production‑ready machine learning and AI solutions on Google Cloud Platform (GCP), focusing on Vertex AI and related services. Lead implementation of Retrieval‑Augmented Generation (RAG) architectures, prompt engineering strategies, and model evaluation & monitoring pipelines to support client AI transformations. Expectations: - Deliver high‑quality ML models and AI applications that integrate seamlessly with GCP services. - Collaborate with cross‑functional teams to define AI roadmaps and ensure alignment with business objectives. - Mentor junior staff and share expertise in GCP and ML best practices. Key Responsibilities: - Architect, develop and deploy ML/AI pipelines using Vertex AI, Vertex AI Search, Cloud Run, and Cloud Storage. - Implement RAG solutions and orchestrate large language models (LLMs) in production. - Design and refine prompt engineering techniques to optimize model performance. - Build and maintain model evaluation and monitoring workflows for continuous quality assurance. - Drive AI transformation initiatives for enterprise clients, delivering innovative, data‑driven solutions. - Contribute to IaC with Terraform for consistent infrastructure provisioning. Required Skills: - 5+ years of professional data science/ML experience. - Deep expertise in GCP services, particularly Vertex AI and Vertex AI Search. - Proficiency in Python and ML libraries (LangChain, Pandas, OpenAI, Rasa, Scikit‑Learn). - Practical knowledge of RAG architecture and LLM orchestration. - Experience developing model evaluation and monitoring pipelines. - Familiarity with IaC tools (Terraform). Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. - GCP certification (Cloud Architect, Professional ML Engineer, or equivalent).

Paris, France

Hybrid

Senior

02-11-2025

Company Name

SFEIR

Job Title

GenAI Engineer - Lille

Job Description

**Job Title** GenAI Engineer **Role Summary** Design, develop, and maintain production‑grade Generative AI services. Build unified APIs that serve text, image, video, and retrieval‑augmented generation (RAG) workloads on cloud platforms. Create specialized chatbots, integrate GenAI solutions for clients, and develop digital‑twins or other AI‑driven products. **Expectations** - Comfortable defining and engineering prompts for large language models (LLMs). - Able to work independently with a high degree of curiosity and problem‑solving. - Willing to experiment, document, and share knowledge with the team. - Focused on engineering solutions that are deployable and scalable rather than one‑off prototypes. **Key Responsibilities** - Develop and expose GenAI APIs using Python, FastAPI, LangChain, or LiteLLM. - Deploy models on Google Cloud (or equivalent) and orchestrate multi‑LLM workflows. - Implement RAG, diffusion, FinOps, and other AI‑centric architectures. - Build and maintain specialized chatbots with personalized recommendation capabilities. - Integrate and customize the RAISE GenAI platform for client environments. - Model digital‑twins and other AI representations of real‑world systems. - Write documentation, conduct knowledge‑sharing sessions, and contribute to open‑source or internal libraries. **Required Skills** - Strong programming in Python and experience with FastAPI. - Familiarity with prompt engineering and conversational LLM interaction. - Hands‑on experience with LangChain, LiteLLM, or similar LLM orchestration frameworks. - Knowledge of cloud infrastructure (Google Cloud preferred; AWS or Azure acceptable). - Understanding of architecture design, RAG pipelines, diffusion models, and FinOps principles. - Ability to prototype quickly, test, iterate, and version production code. - Excellent written and verbal communication for documentation and stakeholder interaction. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. - Demonstrated experience (≥2 years) in AI/ML engineering or a comparable role. - Optional certifications in cloud (GCP, AWS, Azure) or AI are advantageous. ---

Lille, France

Hybrid

02-11-2025