The Senior Full-Stack Architect will manage technical projects and lead development teams while designing tailor-made solutions from back-end to front-end. They will collaborate with various business units to deliver innovative applications based on cloud and microservices architectures.
The intern will support the planning and coordination of training activities, including the creation of digital learning content and management of LMS platforms. They will also participate in adoption initiatives to facilitate the effective use of new tools and methodologies among clients.
Design, build, and evolve modern cloud-native platforms while maintaining CI/CD pipelines and GitOps workflows. Collaborate with software engineers to ensure platform reliability, scalability, and security while mentoring junior team members.
The role involves negotiating and drafting complex transactional documents such as SPAs and SHAs for Corporate M&A operations. It also requires coordinating cross-border due diligence and managing interactions with multidisciplinary advisors and global clients.
Manage complex Governance, Risk, and Compliance projects for enterprise clients to define cybersecurity strategies and risk-based approaches. Lead project teams, identify new business opportunities, and support CISO/CSO in aligning security models with regulatory constraints.
Manage and govern strategic digital transformation projects for government and public sector clients to optimize services and internal processes. Monitor technological trends to propose and implement innovative technical and organizational solutions.
Support CFOs and AFC departments in developing business plans, budgets, and strategic initiatives to drive value creation. Conduct financial analysis, market benchmarking, and support M&A projects to optimize company performance.
Lead the data science team in designing and deploying advanced machine learning models and predictive algorithms to create business value. Drive the technical roadmap, establish best practices, and support business development initiatives to grow the data science presence in France.
Configure, customize, and optimize Atlassian platforms to meet specific business needs while improving project management processes. Provide technical support, conduct user training, and integrate Jira with other corporate tools and plugins.
Coordinate development teams to optimize business processes and manage complex projects involving Data Management, Cloud, and Automation. Ensure the delivery of high-quality, scalable platforms and technical objectives within the public sector.
The role involves analyzing and evolving business processes and tools for Public Administration clients. Key tasks include business process reengineering, drafting sector regulations, and implementing business process management solutions.
The engineer will support the development of Machine Learning and Generative AI models on Google Cloud, contributing to data cleaning, analysis, and modeling activities. They will collaborate with specialists to deploy AI-based solutions for campaigns, recommendations, and dynamic content.
The selected individual will design, develop, and deploy Machine Learning solutions into production, ensuring MLOps standards, security, performance, and data governance. Key responsibilities include designing and implementing ML pipelines in GCP and industrializing models through deployment, MLOps, CI/CD, monitoring, and observability.
