Full-Stack Engineer

il y a 9 heures

Paris, France Capital Fund Management (CFM) Temps plein

Join to apply for the Full-Stack Engineer role at Capital Fund Management (CFM)In collaboration with the Research teams, the Front Prediction team develops and maintains the prediction models (alpha signals) used to make decisions for our automated trading systems.As a member of this team, you will play a key role in the full lifecycle of predictive models, from research integration to robust, scalable production deployment.We seek a Full Stack Engineer with 5-10 years of experience to build and scale our Prediction Services platform. You'll develop cloud-native infrastructure, AI-powered applications, and user interfaces that enable quantitative researchers to deploy and monitor predictive models across global markets. Banking or hedge fund experience highly valued.Key ResponsibilitiesDesign and implement scalable APIs and backend services for predictor deployment, testing and orchestrationBuild React-based frontends for model monitoring, metadata management, and what-if analysis capabilitiesDevelop and integrate generative AI agents for code generation, workflow automation, and model transformationArchitect cloud infrastructure (AWS preferred) with IaC practices and comprehensive observabilityProvide L2 support for production systems serving quantitative trading strategiesRequired Technical SkillsCloud Infrastructure: Production experience with AWS, GCP, or Azure (compute, storage, networking, security)Backend Development: Python API development (FastAPI/Flask), service architecture (REST over HTTP), async patternsAI & Agents: Hands-on experience with LLMs, agent frameworks (LangChain/LangGraph), prompt engineeringDatabases: SQL proficiency with Oracle or PostgreSQL, query optimization, schema designCI/CD: Terraform, Jenkins/GitLab CI, containerization (Docker & Kubernetes), automated testingObservability: Metrics, logging, tracing, alerting (Prometheus/Grafana/ELK or cloud-native equivalents)Preferred Technical SkillsAWS Ecosystem: CodeBuild, S3, ECR, ECS/EKS, Lambda, CloudWatch, IAM best practicesDistributed Computing: Ray framework for ML workload orchestration and parallel processingVector Databases: ChromaDB, Pinecone, or Weaviate for RAG applicationsML Frameworks: scikit-learn, PyTorch for model integration and inference pipelinesSoft Skills & Team DynamicsCollaborate within cross-functional Agile/Scrum teams (researchers, software engineers, quant devs)Strong communication skills for technical documentation and stakeholder engagementProblem-solving mindset with ability to triage production issues and provide L2 supportAdaptability to evolving requirements in a fast-paced quantitative finance environmentSeniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesInvestment ManagementReferrals increase your chances of interviewing at Capital Fund Management (CFM) by 2xGet notified about new Full Stack Engineer jobs in Paris, Île-de-France, France. #J-18808-Ljbffr

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