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Synchrone recherche un ingénieur DevOps senior pour concevoir, automatiser et faire évoluer des infrastructures AWS en production à Bordeaux. Vous assurerez le déploiement IaC via Terraform, les pipelines CI/CD,…
Nous recrutons : Ingénieur Intégration / Production DevOps H/F N'oubliez pas de vérifier votre CV avant de postuler. Assurez-vous également de lire toutes les exigences liées à ce poste. Chez Synchrone , nous…
Consultant (e) Développeur Full Stack Java / Angular Avez-vous les qualifications et les compétences requises pour ce poste ? Découvrez-le ci-dessous, et cliquez sur "Postuler" pour que votre candidature soit…
As a DevOps Engineer at Synchrone, you will design and optimize CI/CD pipelines, automate infrastructure tasks, and manage cloud/on-prem environments. You will work with technologies like Docker, Kubernetes, Terraform, and Ansible to ensure application performance and security for large-scale clients in a hybrid work environment.
Vous souhaitez intégrer des projets ambitieux ? Nous vous proposons une opportunité d’ Ingénieur DevOps (H/F) . Vous envisagez de postuler à cet emploi ? N'attendez pas, faites défiler la page et envoyez votre…
Consultant(e) Développeur fullstack – F/H Avez-vous ce qu'il faut pour réussir ? Les informations suivantes doivent être lues attentivement par tous les candidats. Lieu : Lille – Hybride Type : CDI / Mission longue…
Synchrone is hiring a consultant AI Engineer in Lille (hybrid) to design, build, and industrialize AI solutions — developing and optimizing ML/DL models and bringing them to production with a focus on data and pipelines. Requires a Bac+5 in computer science (or equivalent), 4+ years in data, and fluent English.
Data Engineer for Synchrone, a French IT services firm (ESN), on long-term assignments for large enterprise clients in Lyon (hybrid). Day to day: design, build, and maintain scalable data pipelines on Databricks (Delta Lake, Spark SQL, MLflow), integrate multi-source data, industrialize ML models with data scientists, and automate deployments via DataOps/CI-CD.
Cloud data engineer consultant at Synchrone, a French IT services firm (ESN), on a permanent contract with a long-term assignment at major client accounts in Lille (hybrid). Day to day: building ETL pipelines, managing SQL/NoSQL databases, and running cloud data platforms on AWS, Azure or GCP with Python/Java/Scala, Airflow, Spark and Docker/Kubernetes.
As a Full Stack Consultant, you will develop web applications using Java, Spring Boot, and Angular 10+ for major corporate clients. You'll participate in the entire project lifecycle, from analysis and design to deployment, working in an Agile environment to deliver high-impact digital solutions.
Senior DevOps engineer integrates, qualifies, and maintains applications in complex production environments, automating deployments and CI/CD pipelines using Linux, Terraform, Ansible, and XL Release/Deploy.
DevOps Integration/Production Engineer responsible for integrating, qualifying, and maintaining complex production applications, focusing on environments, testing, and automation using Linux and CI/CD.
Design and build scalable cloud data pipelines for large-scale environments, integrating diverse data sources and optimizing distributed processing for performance and reliability.
Designs and builds scalable cloud data pipelines for high-volume sources, automates deployments with DevOps practices, and ensures data quality for analytics teams.
Builds enterprise web apps using Java/Spring Boot and Angular, collaborating with teams on design, deployment, and testing for large clients.
Builds full-stack web apps using Java/Spring Boot on the backend and Angular on the frontend for enterprise clients in sectors like banking, retail, and media.
Build and maintain scalable Databricks pipelines (Delta Lake, Spark SQL, MLflow) to integrate and transform data for large-scale analytics and ML projects.
Build and maintain scalable Databricks pipelines using Delta Lake, Spark SQL, and MLflow to industrialize ML models and AI workflows for large-scale analytics.
Builds and maintains cloud data pipelines on Azure Databricks, industrializes ML models with MLflow and Delta Lake, and collaborates with IT and business teams.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to ensure high-quality data for analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
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