7 days ago
Paris, France or Amsterdam, NetherlandsStaff+
Responsibilities
- Define and maintain the architectural vision for ECS products in alignment with business, scalability, security, and cloud objectives.
- Design end-to-end cloud-native solutions using AWS, Azure, Kubernetes, serverless technologies, and microservices architectures.
- Drive generative AI, intelligent automation, and agentic AI use cases across ECS applications.
- Architect production-ready AI solutions using AWS Bedrock, SageMaker, and related services.
- Define reusable architecture patterns and standards for cloud-native applications, AI integrations, and agentic workflows.
- Produce HLDs, LLDs, target-state diagrams, and technology roadmaps.
- Guide engineering teams on architecture, modernization, security, performance, and maintainability.
- Collaborate with internal teams, vendors, and consultants to support architecture decisions and delivery.
- Champion data integration and governance initiatives for data-driven applications and AI capabilities.
- Mentor developers and technical leads and promote engineering excellence and continuous improvement.
Requirements
- Bachelor's or master's degree in computer science or a related field.
- At least 10 years of overall software development and engineering experience, including at least 3 years in a Solution Architect role.
- Strong expertise in AWS cloud architecture; Azure or Google Cloud experience is a plus.
- Experience designing cloud-native applications with Kubernetes, microservices, serverless technologies, and distributed architectures.
- Strong architectural design and documentation skills, including HLDs, LLDs, and target-state architectures.
- Working knowledge of Python, Java, JavaScript, Go, or .NET.
- Hands-on experience designing and deploying generative AI solutions on AWS using Bedrock, SageMaker, and related AI services.
- Experience building agentic AI workflows using Bedrock Agents, Flows, tool integration, and orchestration frameworks.
- Understanding of LLM integration, RAG, vector databases, and AI-powered enterprise automation.
- Knowledge of AI-assisted software development and intelligent engineering productivity automation.
- Experience with data integration, ETL pipelines, data governance, and security standards.
- Strong understanding of cloud security, DevOps, observability, and cost optimization.
- Experience leading architecture decisions and transitioning solutions from proof of concept to production.
- Excellent communication, collaboration, and stakeholder management skills, with fluency in English.
- Experience with EU sovereign cloud platforms such as Scaleway, Blue, or NumSpot is a plus.
Benefits
- Work with a European, international, and diverse team across borders.
- Access continuous learning, real responsibilities, and flexible career paths.
- Contribute to impactful projects in an agile and dynamic environment.
- Help advance transparent, responsible, and sustainable capital markets.
- The position is based in Paris.
- Apply with a CV in English.
Tech Stack
Categories
About Euronext
Euronext operates pan-European stock exchanges and market infrastructure, providing listing, trading, clearing, settlement, indices, and market data for issuers, investors, and trading firms. Its revenue comes from transaction and listing fees, market data, and technology and post-trade services. Founded in 2000 and headquartered in Amsterdam, it runs exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway, and Portugal, and operates MTS (fixed income) and the Nord Pool power market.