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Typology is the first skincare brand launched by Good Brands, an ambitious project to build a new generation of digital first consumer brands. Founded in 2019 by serial entrepreneur Ning Li, Typology became the #1 selling skincare brand online in France and operates also in Germany, the USA and Japan. Location Paris (11e arrondissement) Mission As an experienced software engineer with a strong focus on back‑end and data related technologies, you will have the unique opportunity to get involved in the design and implementation of our technical stack and architecture; and work in a challenging context, as we are building tools to support strong growth (opening markets in new countries) and new core tech capabilities. You will work closely with our Tech and Product teams. Technologies We Work With Design & frontend: Vue.js, GraphQL, TailwindCSS, Figma Mobile application: React Native, Expo Backend: Headless CMS (StoryBlok), Headless shopify, AWS, GCP, ERP built on a open source platform Data: BigQuery, PostgreSQL, DynamoDB Gitlab Responsibilities Backend Development: Design, develop, and maintain scalable backend services and APIs Implement and optimize data processing pipelines Integrate with third‑party services (Shopify, Stripe, PayPal, AWS, WMS, ERP) Monitor infrastructure and ensure system reliability Data & AI Implementation: Develop and improve AI‑powered features such as ranking or classification systems, and chatbots Create and maintain data pipelines for training and serving AI models Implement and optimize LLM‑based applications Support data‑driven decision making across the organization System Enhancement: Contribute to the implementation of security best practices Optimize system performance and reliability Support the development of internal tools for various teams (Customer Care, Influence, Retail) Product Development Coordination: Follow up of the product developments in collaboration with the different stakeholders, thus ensuring deadlines will be met Skills Strong expertise in backend technologies (Node.js, Python) Experience with cloud platforms (AWS, GCP) Solid understanding of database systems (SQL and NoSQL, particularly DynamoDB and MongoDB) Experience with modern data stack (ELT using Airbyte, DBT) and data pipelines Practical experience implementing AI/LLM projects (OpenAI, LangChain, VectorDB) Knowledge of API development and serverless architecture Understanding of DevOps principles, CI/CD, and containerization (Docker) Ability to collaborate effectively with cross‑functional teams Profile 5+ years of experience in backend software engineering Proven experience working with data pipelines and AI/LLM implementations Hands‑on mindset and problem‑solving approach Passionate about building efficient solutions and delivering impactful results Strong work ethic and rigor Fluent in English is a must; French is a plus Tech Stack Backend: AWS using AppSync, API Gateway, Lambda, Cognito user pools, CloudFront, DynamoDB, MongoDB, RDS Aurora Frontend: Website on VueJS/Nuxt Mobile App: React Native Data: Airbyte + DBT, legacy pipelines on stitch-data Deployment: GitLab CI for frontends, CloudFormation and CDK for backend Monitoring: Grafana, Sentry, AWS CloudWatch AI: OpenAI, LangChain, VectorDB (ChromaDB), GCP Vertex AI Current Projects AI‑powered Q&A ranking systems Our HelpCenter AI agent Shade finder AI model for product recommendations Building in‑house subscriptions service Payment orchestration systems Diversity is the engine of our innovation. We build a culture where difference is valued. These are the principles that guide the way we build our teams, train our leaders, and create a business that's right for everyone who's a part of it. Unfortunately, we cannot respond to each candidate due to the large number of applications received. We come back to candidates whose qualifications best meet our roles. Consult our personal data protection policy for candidates. #J-18808-Ljbffr