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Build and maintain SAAS product catalogs, refactor legacy systems to microservices, and contribute to full-stack development with CI/CD, Docker, and RabbitMQ.
Développeur Full Stack chez un cabinet de conseil en ingénierie intervenant sur des projets IT et infrastructure pour des secteurs comme le génie civil et l'énergie.
Builds Python/Django backend services that power Octopus Energy’s clean-energy platform and supports the team in London.
Build and maintain scalable Java backend services for satellite data processing, using Spring, Hibernate and PostgreSQL to track and secure vehicle fleets.
Backend Java engineer building distributed satellite data processing services using Java/J2EE, Hibernate, Spring, PostgreSQL and web services for a space-data company.
Backend Java engineer building scalable satellite-data processing services using Java/J2EE, PostgreSQL, and sockets in Toulouse.
Build and maintain secure backend services using Python, FastAPI/Django/Flask, and databases; write tests and CI/CD pipelines for clients in cybersecurity-focused projects.
Builds and optimizes Java backend services, REST APIs, and BigData pipelines in a product team.
Backend developer at Q2 Bank building scalable, low-latency microservices in Go with SQL/NoSQL databases, AWS cloud, and observability tools like Grafana and Prometheus.
Lead engineer building secure, high-performance payment-fraud prevention systems in Java/Spring and Angular/TypeScript for a global fintech company.
Build and maintain web apps with Node.js and React, automate data pipelines in Python, and ensure code quality through testing and docs.
Leads data engineering, cloud infrastructure, and team for Colissimo’s data systems, ensuring performance, security, and cost efficiency while managing budgets and governance.
Build and scale data pipelines and AI services for a climate-tech startup, focusing on automation, reproducibility, and DevOps practices.
Build and industrialize AI/ML pipelines for Crédit Agricole, turning experiments into secure, scalable production systems using MLOps, LLMOps, and data engineering.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and processed data for enterprise clients.
Build and scale an on-premise IoT data pipeline using Apache Hop and Kubernetes, migrating from Dataiku and documenting the architecture.
Build and optimize data pipelines and ML models to create user identities and household profiles for advertising and measurement systems.
Amazon is seeking a DCEO Chief Engineer to lead the data center engineering operations, ensuring 99.999% uptime of critical electrical, mechanical and life-safety systems. You will manage preventive maintenance,…
Senior Data Platform Engineer to modernize a bank’s AWS data platform, build pipelines, and enable generative AI solutions while ensuring security and scalability.
Builds Looker dashboards and SQL pipelines to turn business data into actionable insights for Valeo’s AI team in Créteil.
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