Original listing text, shown exactly as published by the company.
The opportunity: Fullstack Engineer
As a Full Stack Engineer, you will take primary ownership of our frontend experience while being capable of making the backend changes needed to unblock yourself and your team. You'll work closely with Backend Engineers, DevOps Engineers, and stakeholders to deliver scalable, reliable, and high-performance products end-to-end, from pixel to API.
Given that most of our team is located in the Netherlands, we only consider candidates for this position who live within commuting distance of our office in Amsterdam.
What you'll do in this role
- Design, develop, and maintain frontend components in Angular (and Lit HTML where applicable), ensuring optimal performance, responsiveness, and usability.
- Own the integration layer between frontend and backend: consume and contribute to OpenAPI-defined APIs, handle data contracts, and wire up microservices cleanly.
- Make targeted backend changes, new endpoints, tweaks to existing services, minor data model updates, so you can ship features without always depending on a dedicated backend engineer.
- Contribute to architectural discussions across the full stack, from UI component structure to API design and data access patterns.
- Participate actively in code reviews, providing feedback on both frontend and backend code quality, adherence to standards, and performance.
- Mentor and support junior engineers across the stack.
- Stay current with evolving frontend and full-stack best practices.
What you bring to the table
- 3+ years of experience in frontend or full stack engineering.
- Strong proficiency in Angular and experience with component-based frameworks such as Lit HTML.
- Solid understanding of responsive design, UX/UI principles, and a keen eye for design detail.
- Proven experience integrating with APIs and microservices, you understand HTTP, REST conventions, auth flows, and error handling deeply.
- Working proficiency in Python, enough to navigate a FastAPI codebase, add or adjust endpoints, and write Pydantic models and SQLAlchemy queries.
- Familiarity with relational databases (MySQL/PostgreSQL) at the query and schema level.
- Experience with containerised workflows using Docker.
- Excellent problem-solving skills; comfortable working independently and collaboratively.
- Strong English communication skills and ability to work across disciplines.
- Comfortable using AI-assisted development tools (e.g. Claude Code, Cursor, or similar) as part of daily workflow.
- Familiarity with LLM API integration (OpenAI, Anthropic, or similar) and an understanding of the UX patterns specific to AI-powered features.
What success in the first 6 months looks like
- You've built trust with Backend, DevOps, and Product peers and taken clear ownership of 2–3 frontend domains, including their design system consistency and API integration contracts.
- You've delivered frontend features end-to-end, from UX design discussion through Angular implementation, API wiring, tests, and documentation, without needing hand-holding at either layer.
- You've unblocked yourself (and others) by making safe, well-reviewed backend changes: adding an endpoint, adjusting a response model, or optimising a query, rather than waiting in a queue.
- You've raised frontend quality: responsive across devices, accessible, consistent with our design system, and validated against real API contracts rather than mocks.
- You've contributed to meaningful observability on the frontend, error tracking, performance budgets, and linked them to backend SLIs where relevant.
- You've shared knowledge through documentation, code reviews, and mentoring, so the team's frontend capability grows with you.
Current tech stackWe're fully cloud-native on AWS, with a lean, API-first product development approach.
Frontend: Angular · Lit HTML · Headless Wagtail · WordPress
Backend: Python · FastAPI · Pydantic · SQLAlchemy · MySQL · Neo4j
Platform: AWS · Kubernetes · Terraform · Docker · GitHub Actions · ruff · UV · pre-commit · Renovate
Our platform runs on Kubernetes-managed services and Terraform for infrastructure as code. We continue expanding capabilities in knowledge graphs (Neo4j) and modern data access patterns.