Job Specifications
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.
Here Are Some Of The 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 reinsuring that the 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
To go a bit further
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
You'll have the opportunity to work on exciting projects such as:
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.
We consider our board members to be full team members. The board is currently composed of Ning Li, Rodolphe Menegaux and Jeremy Uzan. The observer members are Michael Stothard and Marc Simoncini.