Senior Full Stack Developer

Key skills required:

• Design, build and maintain features across our AI platform: Angular/TypeScript front end, Node.js/Express.js backend services, and the supporting data layer.
• Work across both large developments (new modules, new AI-powered capabilities, new integrations) and small incremental changes (fixes, enhancements, data connections, and access-specific functions).
• Build and maintain integrations with third-party and pharma-specific platforms (e.g. Veeva, PubMed, Embase, DistillerSR) via REST APIs and custom API connectors.

Technology Stack You'll Work With

Our platform is fully cloud-based and multi-tenant. Strong fundamentals in the core languages and frameworks, plus a willingness to work across new and emerging tools, are expected:

Frontend - Angular 14+, TypeScript

Backend - Node.js, Express.js, LangGraph (and comparable LLM orchestration frameworks such as LangChain)

Data Layer - MongoDB / AWS DocumentDB , PostgreSQL, Redis (caching & queues)

Cloud & Infrastructure

• AWS: S3, RDS, DocumentDB, KMS, CloudWatch
• Azure: Blob Storage, Cosmos DB
• Multi-region deployments across Europe, the US and APAC

Other -

• Custom API connectors and RESTful integration patterns.
• BullMQ for background/queue processing.
• SSO integrations (Azure AD, Okta) and role-based access control in a multi-tenant architecture.

Key Qualifications -

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 8–15 years of professional full-stack development experience.
• Strong hands-on experience with Node.js and a modern frontend framework (Angular preferred; strong React/Vue experience also considered).
• Solid TypeScript/JavaScript fundamentals and comfort working across the stack rather than front end or back end only.
• Experience with at least one relational and one document/NoSQL database (e.g. PostgreSQL and MongoDB).
• Experience building and consuming REST APIs; comfort with tools like Postman for testing integrations.
• Exposure to cloud platforms (AWS and/or Azure) and containerized deployments (Docker).